US5517419A - Advanced terrain mapping system - Google Patents
Advanced terrain mapping system Download PDFInfo
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- US5517419A US5517419A US08/094,882 US9488293A US5517419A US 5517419 A US5517419 A US 5517419A US 9488293 A US9488293 A US 9488293A US 5517419 A US5517419 A US 5517419A
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- terrain
- information
- data
- digital images
- dead reckoning
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C7/00—Tracing profiles
- G01C7/02—Tracing profiles of land surfaces
- G01C7/04—Tracing profiles of land surfaces involving a vehicle which moves along the profile to be traced
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C11/00—Photogrammetry or videogrammetry, e.g. stereogrammetry; Photographic surveying
- G01C11/02—Picture taking arrangements specially adapted for photogrammetry or photographic surveying, e.g. controlling overlapping of pictures
Definitions
- This invention relates generally to surveying and photogrammetric methods of providing terrain data and more specifically to a system for providing precise position data of terrain features quickly and for automatically imaging those features for engineering purposes and remote sensing.
- GPS Global Positioning System
- U.S. Pat. No. 5,144,318 to Kishi wherein a GPS receive station is located in a vehicle and whereby the vehicle can navigate a preplanned path by virtue of the information it receives from the GPS.
- U.S. Pat. No. 5,210,540 to Masumoto shows yet other enhancements for determining position of a vehicle by virtue of an on-board GPS receiver.
- the present invention uses a series of camera systems together with a GPS positioning system and a dead reckoning system to precisely calculate the location of the surveying vehicle at any point in time thereby correlating images taken with the geodetic position of the vehicle at the time images are taken.
- ATMS The Advanced Terrain Mapping System
- a post-processing system that uses GPS satellites together with a dead reckoning system and associated cameras and sensors to determine the exact location of the ATMS, translating this location information onto photogrammetric mapping collectors for the purposes of developing an orthographic database image that can be correlated with other onboard sensors for determining the precise location of terrain features and performing automated feature identification and location of those features.
- the first of the ATMS is contemplated for use in highway planning and construction.
- the main sensor platform comprises a GPS receiver together with a plurality of visual sensors and a dead reckoning system mounted on a trailer.
- the GPS provides ATMS location based on the satellite network.
- the dead reckoning system provides ATMS location and velocity vector data based upon wheel encoders, an attitude sensor, and a roll potentiometer. The GPS data and the dead reckoning data are brought together in a navigation system to provide continuous precise location of the ATMS.
- the camera system on board the trailer of the ATMS comprises a series of cameras for recording images of the terrain as the trailer proceeds over the terrain of interest.
- a series of front, side, and rear mounted cameras give visual images correlated with the positional data which depict terrain features.
- the cameras are mounted such that all imaged terrain is imaged in stereo through sequential photographs from a single camera or simultaneous imaging of the terrain features by multiple cameras.
- digital imagery is transmitted from each camera and received by an on-board computer.
- the collection of image data is triggered by the movement of the vehicle a certain distance along the ground.
- the on-board GPS system and dead reckoning system are queried for geographical reference.
- a dataframe is then created and stored for each form of imagery from each camera.
- GIS geographic information system
- the outputs of the ATMS are hardcopy engineering plots and softcopy digital vector files.
- the hardcopy engineering plots are typically used by civil engineers during highway planning. Because the information is stored in a GIS, a wide variety of types of hardcopy engineering plots can be generated.
- the softcopy data is made available in a variety of different formats, such as tape and CD ROM, for use in the GIS of another system.
- FIG. 1 shows the field system, extended to perform the survey function.
- FIG. 2 shows the field system with the trailer stowed on the tractor for non-functional transport.
- FIG. 3 shows and end view of the field system with the trailer stowed on the tractor for non-functional transport.
- FIG. 4 shows the vertical coverage of the rear cameras.
- FIG. 5 shows a vertical view of a digital camera used in a horizontal strip mode.
- FIG. 6 shows a plan view of a digital camera used in a horizontal strip mode.
- FIG. 7 shows a camera view of a horizontal strip mode.
- FIG. 8 shows the image processing result of a horizontal strip mode.
- FIG. 9 shows a horizontal strip image
- FIG. 10 illustrates changes in image tracks for a change in direction of travel.
- FIG. 11 illustrates changes in image tracks for a change in the rate of travel.
- FIG. 12 shows the generic data frame format.
- the system of the present invention comprises two major subsystems: a field system and a post-processing system.
- the field system is mounted on a towed vehicle and is designed to collect as much data as possible as the field system traverses the terrain being surveyed.
- the field system collects the data through the use of a GPS, a dead reckoning system, several digital cameras, on-board computers, and high density tape drives.
- the post-processing system accepts all of the data collected by the field system and processes this data to produce a variety of digital outputs.
- the field system 2 is a field vehicle comprising a tractor 4 and a trailer 6.
- the tractor 4 houses a generator, processing equipment, and environmental control equipment.
- the trailer 6 provides a stable platform for navigation, camera, and data recording subsystems.
- the trailer 6 portion of the field vehicle 2 may be stowed in piggyback fashion on the tractor 4 to make the field vehicle 2 street legal while in transit.
- the trailer 6 can be extended and calibrated prior to commencing sensing operations.
- FIG. 1 shows the field vehicle 2 extended for survey.
- the tractor 4 is described.
- the tractor 4 has an eight feet wide by ten feet long by four feet high "U" shaped enclosure 12 which preferably attaches to the trailer 6 at a standard 17/8 inches ball mount 8.
- the tractor 4 preferably uses 15 inch wheels 10 attached to a solid axle and isolated from the generator by King or equivalent mounts, and from the processing enclosure by pneumatic dash-pot mounts.
- the tractor enclosure 12 is preferably made from aluminum equipped with racks to hold the electronic components, the rack mounts being vibrationally isolated and environmentally controlled.
- the tractor 4 also preferably includes an air conditioner for cooling the enclosed system.
- Environmental safety systems provide a warning and cause an emergency equipment shutdown at times of power or environmental extremes.
- the enclosure 12 also contains a generator/compressor, preferably fueled by liquid propane gas.
- the generator/compressor provides power for the electronic equipment and air conditioner and provides the power to the tractor.
- the generator/compressor is vibrationally isolated and sound deadened, preferably to less than 100 dB at 20 feet.
- the generator/compressor may be located in an auxiliary enclosure separate from the main enclosure 12.
- the erectable trailer unit 6 is attached directly to the centerline of the tractor's axle 14 through an oil-damped knuckle joint 16. This arrangement ensures that changes in tongue elevation on the tractor 4 have no effect on the trailer 6 and its associated sensor platform 18.
- connection to the tractor 4 is fitted with a roll sensor.
- This sensor determines the roll angle differential of the tractor 4 with respect to the trailer 6. This information, when combined with the precision wheel sensors on the trailer 6, provide the on-board computers with the ability to predict when the trailer 6 will experience "wheel dip” and compensate accordingly.
- the trailer 6 is fabricated using welded tubular construction which is triangulated to provide a high degree of torsional stiffness and rigidity. All joints are high tolerance ball joints.
- the central spar 20 preferably contains a wiring conduit with a chaffing shield at all flex points for routing essential wiring back to the electronics in the tractor 4.
- the central spar 20 also preferably contains a 2.5" high velocity air duct, to provide a means for controlling environmental conditions at the sensor platform 18.
- a sensor mast 22 extends upward from the far end of the central spar 20. At the top of the sensor mast 22 is the sensor platform 18 itself. The altitude of the sensor mast 22 is preferably three meters from ground level.
- the GPS receiver antenna is mounted on the upward face of the sensor platform 18. All of the optical and other sensors are preferably mounted below the sensor platform 18 so as to provide no obstructions for the GPS antenna, and to provide environmental shielding for the sensors. Power and environmental control resources are available, preferably at a junction box located at the top of the sensor mast.
- the sensor platform 18 is preferably constructed of an aluminum/fiberglass composite. This gives it a light weight and high strength while still providing a ground plane for the GPS antenna.
- the underside of the platform preferably consists of a 6" lattice of 3" aluminum "C" channel, pre-drilled to accept a wide array of equipment mounting brackets. The "C” channel is side-drilled and covered with plastic chafe-guard to accept equipment cabling.
- At the center of the sensor platform 18 is a single 19" by 24" insulated rack complete with environmental controls. Eight inches of this rack are reserved for the GPS receiver and Attitude Sensor Analog to Digital Converters (ADCs).
- the navigation system comprises the GPS receiver, a dead reckoning system and a navigation computer.
- a twelve channel GPS receiver is used to determine its own absolute position with great precision.
- the dead reckoning system comprising wheel encoders and an attitude sensor, will provide position information when GPS signals cannot be acquired as the field unit is moving. Both signals will be encoded into the data stream so that the post-processing system can have the entire position series from all sources available for position extrapolation. This approach allows for a more accurate position determination than could be achieved through instantaneous position determination alone.
- the standard GPS receiver views the strongest signals from the currently visible constellation of GPS Satellites.
- Each of the visible satellites uses the same frequencies (1575.42 Mhz for the C/A-code and 1227.60 Mhz for the P-code). These signals are encoded using a pseudo-random algorithm, based on the satellite's identifier as the key and are then overlaid onto a 50 bit descriptor which describes the orbit, position, and current time-base reading for that satellite.
- Each of the satellites has a precise Cesium time-base on-board.
- the satellites periodically update their orbit information to a high degree of accuracy.
- a fix is generated by reading the relative positions from three satellites, and a time base from a fourth. This obviates the need for a time base on the receiver.
- the receiver scans the aggregate received signal by sequentially applying the key codes for all of the known satellites and looking for a match.
- Two GPS receivers may be run in concert with each other, and can be synchronized in the way in which they are viewing the satellite constellation. They will then both read the same position to a very high degree if in the same place. This is to say any error perceived by one will be perceived exactly the same by the other. This similarity in error perception remains constant to a high degree for receivers separated by as much as 150 kilometers.
- differential GPS fix generation This situation is exploited by the system of the present invention through the use of differential GPS fix generation.
- One GPS receiver is placed at a known location and a reading is taken.
- the difference between the GPS derived location value and the known absolute value is calculated and then transmitted (through any number of means) to a second GPS receiver whose position is to be determined.
- This correction vector is then applied to the reading of the second receiver and a corrected position is calculated.
- This technique will increase the accuracy of civilian GPS measurements to below 1 meter, and to even better when the second unit remains stationary and an average is taken.
- phase information to the position calculation in the present invention allows a differential based GPS position fix to be made to better than 1 cm for a stationary receiver, and better than 5 cm for a moving receiver.
- the Dead Reckoning System includes wheel encoders, an attitude sensor, and a roll potentiometer.
- the DRS provides continuous position information which is used during times when GPS receivers are obscured by physical obstacles or weather.
- the field vehicle rides on low-mass wheels 24 directly mounted to the trailer assembly 6. There is no suspension for the trailer assembly and tire pressure is high (50-70 lbs). This permits highly accurate position calculations for the navigation system. Low mass wheels ensure low slippage and scrub rates, and increase wheel encoder accuracies. Each wheel 24 is fitted with a 65 k count interpolated absolute position encoder, enabling the determination of the movement of the trailer and the calculation of the trailer's position and heading using reckoning.
- the sensor platform mast 22 is fitted with a mass attitude sensor 32 used to determine the exact lateral inclination of the trailer on two axes.
- a mass attitude sensor 32 used to determine the exact lateral inclination of the trailer on two axes.
- the tractor to trailer connection includes a roll sensor 34. This sensor determines when the tractor "tips" due to road surface irregularities and then queues the navigation computer to momentarily reduce the gain on the attitude ADC's and to prepare for instantaneous acceleration due to the mast sway that will occur when the trailer 6 hits the same obstruction.
- the navigation computer has the task of combining the information from the GPS and the reckoning sensors (wheel encoders, attitude sensor, and roll sensor) to determine the trailer's instantaneous position and velocity vector.
- This computer must compensate for GPS dropouts, wheel skip, acceleration and deceleration, and swaying induced by road surface, wind, and other sources.
- the navigation system is preferably a hardened 486-50 CPU fitted with ADCs and a time base corrector. It uses a time-rate-integration algorithm to compensate for acceleration and sway and dead reckoning to overcome GPS dropout. It then feeds a position/velocity vector field to all of the control computers to be used as their absolute reference.
- the digital camera preferred for use with the system of the present invention is the Kodak Megaplus Camera Model 1.4, Class I Camera Package, C-Mount, with a Schneider Corporation of America Cinegon F1.8/10 mm lens, although other cameras may be used.
- This camera has the following properties:
- Imaging Device Solid State Charge-Coupled Device (CCD)
- Pixels Array 1317 horizontal lines and 1035 vertical lines
- the camera system of the present invention comprises a total of seven cameras: three cameras mounted on the front and four rear mounted cameras.
- One front mounted camera is forward looking and the other two face the sides of the field system 2. These cameras perform specific functions.
- the front mounted forward viewing camera provides a display used for event cuing. This camera provides forward coverage through successive exposures.
- the two side-directed cameras on the front one to collect data on the left of the trailer and one to collect data on the right of the trailer, are synchronously exposed to provide simultaneous stereo coverage in conjunction with two of the rear mounted cameras.
- the base between the right stereo pair and the left stereo pair is preferably fixed at 1 meter, so as to provide accurate stereo measurements for deriving X, Y, and Z components from the center of the route of travel up to 28 feet to the left and right respectively.
- the four rear mounted cameras are synchronously exposed to provide additional coverage. Referring to FIG. 4, the vertical coverage on the rear cameras is now described. All four cameras provide horizon-to-horizon coverage and are used to create a strip image along the route of travel.
- the first rear camera is mounted on the left and collects imagery from the center of the route of travel to 28 feet to the right of the route of travel.
- the second rear camera is mounted on the right and collects imagery from 20 feet to the horizon on the right. These two cameras are oriented with the maximum field of view 47° perpendicular to the route of travel, so that maximum coverage is achieved.
- the third rear camera is mounted on the right and collects imagery from the center of the route of travel to 28 feet on the left of the route of travel.
- the fourth rear camera is mounted on the left and collects imagery from 20 feet to the horizon on the left.
- the second rear camera mounted on the right and the fourth rear camera mounted on the left collect stereo imagery by successive exposures and a measured base is used to derive X, Y, and Z components from 20 feet (8 feet of overlap is provided with the fixed base stereo camera to provide scale) from the center to the horizon or 107° above the vertical.
- the digital camera are normally used as framing cameras. However, when a camera is mounted perpendicular to the route of travel on a terrestrial moving vehicle, each frame that is collected can be used in two different collection modes--vertical strip mode and horizontal strip mode.
- horizontal strip mode In horizontal strip mode the left and right observing cameras are used. In this mode the horizontal plane defining properties of the digital cameras are used for feature identification and location.
- the horizontal strip camera is produced by orienting the camera perpendicular to the route of travel and recording the image as fast as possible. Then in lieu of recording each frame as a complete image, each successive horizontal line is recorded as a sequence. That is, an image is created by each horizontal line of pixels. If the camera has 1000 horizontal lines, 1000 horizontal strip images are created, processed, and analyzed.
- FIGS. 5 and 6 illustrate the vertical and plan views of such a digital camera operation. In these figures there are three successive exposures and there are two objects, a Near Pole and Line 31 and a Far Pole at Line N.
- FIGS. 7 and S illustrate the camera view of the two features and the three successive views of Lines 31 and N.
- the near pole moves across the Line 31 image in two lines
- the Line N image the Far Pole is observed for three and probably more lines and the Near Pole is only observed for two lines.
- FIGS. 7 and 8 demonstrate that by the motion of objects across the line image (an image created by successive lines) it is possible to measure the distance D (in FIG. 5) through the following geometric relationships: ##EQU1##
- f Focal Length of the Camera
- B Distance traveled between exposures
- d Image motion between two successive exposures
- D Distance from the camera to the feature. Also, when the image crossed the center of each line, the location of the feature can be calculated from the angular location.
- FIG. 9 is an illustration of one line image from a digital frame camera operating in a horizontal strip mode, and as long as the vehicle is operating at constant speed and traveling in a straight direction, traces of features will travel diagonally across the image format and their angle of travel or their distance within the camera filed of view can be translated directly into the distance from the camera to the feature. Therefore, each feature can be measured (the diameters of poles, widths of signs, diameters of culverts, etc.).
- FIG. 9 is an illustration of an ideal situation; however, a vehicle seldom travels at a constant speed nor will cameras maintain their proper orientation (due to changes in the platform). If there is a change in camera orientation that change will be observed in the deviation of the image tracks. Also, if there is a change in vehicle speed, that change will also be observed in the image tracks. Thus, the image tracks can be used to determine changes in speed and orientation of the cameras during the creation of the strip image.
- FIGS. 10 and 11 illustrate the effects the changes in the platform will have on the image tracks.
- FIGS. 10 and 11 illustrate the value of the Horizontal Strip mode of operation.
- the camera effectively creates a series of optical planes with each scan line. Successive exposures of each line record the motion of the camera between exposures so that not only can the scale at each feature be calculated, the motions of the camera platform can also be calculated.
- FIG. 10 when a feature is located at the radius of turn, this information can be confirmed by comparison with the information being collected by the cameras collecting data from the opposite side of the vehicle.
- the camera motion information can be used as a dead reckoning capability to accurately track the motion of the camera through the nine degrees of spatial freedom; X, Y, Z and the rotation about each one of these three dimensions. If the cameras begin from a known point and at a known orientation, the motion analysis derived from the horizontal strip camera can be used to determine the location of the cameras at each exposure point along the route of travel.
- the data collected can provide a significant amount of information about the feature type.
- scale can be determined at each feature, so that the diameters of poles and sizes of objects can be accurately measured and automation can be provided for many features.
- the diameters of trees can be accurately determined automatically by measuring the width of the image (the left and right edges will be at the same distance and the distance between the edges can be automatically measured through standard image processing techniques). These measurements will occur for each scan line, thus an X, Y, Z file is developed for each feature. Now feature classification can be made based upon feature size and shape.
- This form of feature identification is much more accurate than any other image processing method, because shape and size is a far more accurate determinate of feature than any other measure.
- One of the problems in attempting to perform feature identification from conventional frame image is the orientation of the feature at the time of exposure. Features look different from different perspectives, thereby causing considerable problems in attempting to apply conventional image feature classification techniques.
- each pixel in the vertical strip mode can have an accurate determination of its spatial location, and information about the feature located at the location. From this information, an orthographic image can be created and the geometric data about the feature can be used for automatic identification. Assuming that these features have been man made (poles, culverts, guard rails, highway intersections, etc.) and have a geometric property, the identification can be easily accomplished. For natural features only feature classification (trees, bushes, etc.) can be performed.
- the digital cameras are used to collect conventional imagery.
- imagery is commonly used for feature identification and for feature location through the application of conventional stereo photogrammetry.
- feature location the standard solution of the intersection equations is used to locate the feature based upon the left and right measurements in the two stereo images.
- the identification and location of features can be accomplished with the Preprocessing System.
- the two stereo images are viewed by an operator who selects points stereoscopically and the X,Y and Z values of these points are calculated. All of the side observing cameras are optimally suited for stereo photogrammetric measurements.
- the stereo coverage cameras on the left and right have a precisely measured base (distance between camera nodal points). This precise base allows measurement along the Y-axis to be made with a precision of ⁇ 0.1 centimeters.
- Cuing information, recorded during data collection, will allow semi-automated location of important image features.
- each camera is capable of collecting 1.3 MB of 8 bit color imagery at a rate of up to 5.1 frames per second, or 6.6 MB of imagery per second.
- the actual rate at which data is captured will be determined by the speed of the vehicle.
- the collection of a frame of data will be triggered by the movement of the vehicle a fixed distance along the ground, thus eliminating the need for extremely high speed real-time data reduction prior to storage.
- the on-board GPS system and on-board dead reckoning system are both queried for geographic reference. If the system operator has generated a special interest marker, and the control computer has determined that the feature of interest will fall within the current camera frame, the special interest marker and feature serial number are also queried.
- the data frame consists of two parts: a fixed size frame header block, and a fixed size imagery data block of 1,363,095 bytes.
- the frame header block will contain the data necessary to perform exploitation of the imagery contained in the imagery data block, including latitude (and auxiliary data) from the GPS; longitude (and auxiliary data) from the GPS; elevation (and auxiliary data) from the GPS; latitude from dead reckoning; longitude from dead reckoning; elevation from dead reckoning; (x,y,z) attitude of the vehicle; sequential frame counter; special interest marker; feature serial number; number of rows of pixels in imagery data block; number of columns of pixels in imagery data block; camera geometry version; camera ID; and checksum for header data block.
- One data frame will be composed for each camera. Once the data frame is composed, it will be written out to high speed, high capacity, magnetic tape. There is preferably one tape drive for each camera being used.
- Collection of data in the field will result in the production of seven 8mm magnetic tapes, one from each imaging camera, containing imagery data, geographic reference data, and cuing data. These seven tapes must then be processed on the post-processing workstation to produce usable surveying information.
- the post-processing workstation is a collection of hardware and software components suitable for the reduction of the raw engineering data, collected during a surveying run, into usable surveying information.
- the post-processing workstation will allow the operator to extract high accuracy geographic coordinates for features of interest within the collected imagery. Due to the volume of data collected by the advanced terrain mapping system, this workstation must be robust in both its storage capacity and processing power.
- the preferred hardware configuration of the workstation is as follows:
- Sun SparcStation 10 Model 30, 32-MB RAM, 424-MB hard disk, 1.44-MB floppy disk, 8-bit color graphics, 10" color monitor
- CD-ROM player (669-MB)
- the software configuration for the post-processing workstation consists of a combination of Commercial-off-the-Shelf ("COTS”) and custom software.
- COTS Commercial-off-the-Shelf
- the software configuration is as follows:
- special interest markers are placed on the image tapes by the system operator. These special interest markers identify the specific frame(s) on a tape in which the feature of interest appears, as well as identifying the feature type by general category. Specific feature categories are added during the post-processing of the data.
- the special interest markers are stored in the "Special Interest Marker" field of the frame header block. Because of the collection geometry, a given feature will always appear either on two cameras simultaneously, or on successive frames on the same camera. This information can be used, as described below, to stereographically derive geographic coordinates for the feature identified by special interest markers.
- the first step in the post-processing of the data is mensuration of precise geographic coordinates for each feature identified by a special interest marker. This process makes use of the image cuing concept described previously. Mensuration from the low side-looking cameras makes simultaneous use of the two low side-looking cameras on a given side on order to utilize the stereo coverage provided by these cameras. For the back-looking camera, and the high side-looking cameras, overlap between successive frames is used to provide stereo mensuration capability.
- the first step in the post-processing of the data is to place the tapes from these two cameras into the two tape drives on the post-processing workstation.
- the stereo mensuration application on the workstation then scans the two tapes for the frame on each tape containing a special interest marker with the same serial number.
- These two image frames are then displayed on the workstation, with one of the images being placed on the monitor screen and the other being placed on the Z-Screen. This display allows an operator, wearing polarized lens glasses, to view the scene in three dimensions.
- the stereo mensuration application projects a dot onto each of the two images.
- the operator places the dot on each image at the base of the object of interest.
- a single dot appears to "float" on the surface of the ground.
- the locations of the dots on the two images can be used, in conjunction with standard photogrammetric equations and a mathematical model of the cameras, to derive a precise location of the feature in relation to the collection platform. This location is given in terms of an (x,y,z) distance, in feet or inches, from the camera.
- a geographic translation can then be performed against the geographic coordinates stored in the image frame header to derive a geographic location for the given feature of interest. This process is repeated for each pair of marked frames on the two tapes.
- successive frames on the same camera are used to provide stereo coverage.
- a single tape is placed in the post-processing workstation.
- the stereoscopic mensuration application then scans the tape for two frames with special interest markers with the same serial number. These two frames are then placed on the monitor and the Z-Screen. Mensuration takes place in the same manner as in the case of the low side-looking camera.
- the operator enters additional information on the feature.
- Representative information might include specific feature categories, information on condition of the feature, notes regarding the feature, or relationship to other frames. This allows the construction of line and area features, as well as detailed attribution.
- the primary data product, produced for delivery to the customer, will be the hardcopy engineering plot.
- This is a vector map plot, produced by the GIS system, on a pen plotter. Hardcopy plots will range in size from A-E sizes, as required by the customer. Other plotters may make engineering plots available in larger and/or non-standard sizes.
- the GIS will contain the geographic locations of all features of interest.
- the hardcopy plot will present the features of interest in an annotated format, using standardized symbology.
- the flexibility of the GIS will allow the format of the plots to be customized to meet individual customer requirements.
- the secondary data product produced for delivery to the customer, will be softcopy digital vector files. These files constitute the softcopy files that are used for populating the customers' GIS database, and can take any of a number of forms.
- GIS Global System for Mobile Communications
- ARC Info Import/Export for supporting ARC Info GIS
- IGDS for supporting Intergraph GIS
- IGES an international standard supported by a number of GIS packages
- Digital data may be disseminated to the customer on a number of different media, including 8mm magnetic tape cartridge (2.3 GB and 5 GB), 1/4" magnetic tape cartridge (150 MB), 3 1/2" floppy disk (1.44 MB), and high speed modem.
- Additional distribution media may be added as required by customer demand.
- Several options include WORM disk, removable hard disk, rewritable optical disk, 4 mm magnetic tape, and CD-ROM.
Abstract
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---|---|---|---|---|
US5642285A (en) * | 1995-01-31 | 1997-06-24 | Trimble Navigation Limited | Outdoor movie camera GPS-position and time code data-logging for special effects production |
US5721685A (en) * | 1995-06-29 | 1998-02-24 | Holland; Robert E. | Digi-track digital roadway and railway analyzer |
US5761095A (en) * | 1997-03-10 | 1998-06-02 | Rgs, Llc | System for monitoring the depth of snow |
WO1998036288A1 (en) * | 1997-02-14 | 1998-08-20 | Kelvin Korver | A navigation/guidance system for a land-based vehicle |
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US5893043A (en) * | 1995-08-30 | 1999-04-06 | Daimler-Benz Ag | Process and arrangement for determining the position of at least one point of a track-guided vehicle |
US5902343A (en) * | 1996-11-22 | 1999-05-11 | Case Corporation | Automatic scaling of GPS field maps |
US5908458A (en) * | 1997-02-06 | 1999-06-01 | Carnegie Mellon Technical Transfer | Automated system and method for control of movement using parameterized scripts |
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US5928309A (en) * | 1996-02-05 | 1999-07-27 | Korver; Kelvin | Navigation/guidance system for a land-based vehicle |
US5938709A (en) * | 1996-11-22 | 1999-08-17 | Case Corporation | Panning display of GPS field maps |
US5961573A (en) * | 1996-11-22 | 1999-10-05 | Case Corporation | Height control of an agricultural tool in a site-specific farming system |
US5978723A (en) * | 1996-11-22 | 1999-11-02 | Case Corporation | Automatic identification of field boundaries in a site-specific farming system |
US5986547A (en) * | 1997-03-03 | 1999-11-16 | Korver; Kelvin | Apparatus and method for improving the safety of railroad systems |
US5995895A (en) * | 1997-07-15 | 1999-11-30 | Case Corporation | Control of vehicular systems in response to anticipated conditions predicted using predetermined geo-referenced maps |
US5999878A (en) * | 1997-04-11 | 1999-12-07 | Navigation Technologies Corp. | System and method for acquiring geographic data for forming a digital database of road geometry in a geographic region |
US6023241A (en) * | 1998-11-13 | 2000-02-08 | Intel Corporation | Digital multimedia navigation player/recorder |
US6029106A (en) * | 1996-11-22 | 2000-02-22 | Case Corporation | Global position correction for the electronic display of field maps |
EP1052599A2 (en) * | 1999-05-10 | 2000-11-15 | Kabushiki Kaisha Topcon | Formation of orthogonally projected image from centrally projected image |
US6173277B1 (en) * | 1996-10-25 | 2001-01-09 | Navigation Technologies Corporation | Interface layer for navigation system |
US6202065B1 (en) * | 1997-07-02 | 2001-03-13 | Travelocity.Com Lp | Information search and retrieval with geographical coordinates |
US6208353B1 (en) | 1997-09-05 | 2001-03-27 | ECOLE POLYTECHNIQUE FEDéRALE DE LAUSANNE | Automated cartographic annotation of digital images |
US6212471B1 (en) | 1999-04-28 | 2001-04-03 | Lockheed Martin Corporation | Dynamic optimal sensor employment for searching an area |
US6211816B1 (en) | 1995-02-18 | 2001-04-03 | Diehl Stiftung & Co. | Process and apparatus for target or position reconnaissance |
WO2001037000A2 (en) * | 1999-11-04 | 2001-05-25 | Synexus Corporation | Apparatus and method for detecting heterogeneities by thermal imaging of microwave irradiated terrain |
US6278939B1 (en) | 2000-07-24 | 2001-08-21 | Navigation Technologies Corp. | Method and system for providing data from a remotely located geographic database for use in navigation system units |
US6278938B1 (en) * | 1997-12-24 | 2001-08-21 | Wendell Alumbaugh | Method of processing waypoint data for travel guide device |
US6285320B1 (en) | 1999-09-03 | 2001-09-04 | Sikorsky Aircraft Corporation | Apparatus and method for mapping surfaces of an object |
US6292745B1 (en) | 2000-07-24 | 2001-09-18 | Navigation Technologies Corp. | Method and system for forming a database of geographic data for distribution to navigation system units |
EP1181785A1 (en) * | 1999-05-25 | 2002-02-27 | Carlson Software, Inc. | Real-time surveying/earth moving system |
GB2368219A (en) * | 2000-09-13 | 2002-04-24 | Roke Manor Research | Camera system with GPS |
FR2821423A1 (en) * | 2001-02-23 | 2002-08-30 | France Etat Ponts Chaussees | SYSTEM AND METHOD FOR MEASURING AND RECORDING EVENTS ALONG A ROUTE |
US20020126913A1 (en) * | 2001-03-07 | 2002-09-12 | Daisuke Kotake | Image processing apparatus and method |
US6460260B1 (en) * | 2000-02-10 | 2002-10-08 | Caterpilar Inc. | Mobile cruiser machine for forestry applications |
US20020163521A1 (en) * | 1993-09-10 | 2002-11-07 | John Ellenby | Electro-optic vision systems |
US6487517B2 (en) * | 2000-05-25 | 2002-11-26 | Pentax Corporation | Target for photogrammetric analytical measurement system |
US20020184236A1 (en) * | 2000-07-18 | 2002-12-05 | Max Donath | Real time high accuracy geospatial database for onboard intelligent vehicle applications |
US6504571B1 (en) | 1998-05-18 | 2003-01-07 | International Business Machines Corporation | System and methods for querying digital image archives using recorded parameters |
US20030023614A1 (en) * | 2001-07-18 | 2003-01-30 | Newstrom Bryan J. | Populating geospatial database for onboard intelligent vehicle applications |
US20030030636A1 (en) * | 2000-03-31 | 2003-02-13 | Olympus Optical Co., Ltd. | 3D image data publishing method and 3D image production system |
US6550151B2 (en) | 2001-01-19 | 2003-04-22 | Donald R. Airey | Contour measuring device and method |
US6600990B2 (en) * | 2000-02-04 | 2003-07-29 | Pioneer Corporation | Device for copying map-information from car navigation system |
US6618497B1 (en) * | 1999-06-24 | 2003-09-09 | Pentax Corporation | Photogrammetric image processing apparatus and method |
US6697752B1 (en) | 2000-05-19 | 2004-02-24 | K&L Technologies, Inc. | System, apparatus and method for testing navigation or guidance equipment |
US20040051680A1 (en) * | 2002-09-25 | 2004-03-18 | Azuma Ronald T. | Optical see-through augmented reality modified-scale display |
US20040066376A1 (en) * | 2000-07-18 | 2004-04-08 | Max Donath | Mobility assist device |
US20040068758A1 (en) * | 2002-10-02 | 2004-04-08 | Mike Daily | Dynamic video annotation |
US20040066391A1 (en) * | 2002-10-02 | 2004-04-08 | Mike Daily | Method and apparatus for static image enhancement |
US6725553B2 (en) | 2001-01-19 | 2004-04-27 | Donald R. Airey | Contour measuring device and method |
US6751540B2 (en) | 2001-10-10 | 2004-06-15 | Caterpillar Inc | Method and apparatus for design placement for earthmoving applications |
US6757445B1 (en) | 2000-10-04 | 2004-06-29 | Pixxures, Inc. | Method and apparatus for producing digital orthophotos using sparse stereo configurations and external models |
US20040167709A1 (en) * | 2002-09-20 | 2004-08-26 | M7 Visual Intelligence, Lp | Vehicle based data collection and processing system |
US20040189517A1 (en) * | 2001-10-09 | 2004-09-30 | Ashutosh Pande | Method and system for sending location coded images over a wireless network |
US6821052B2 (en) * | 2001-10-09 | 2004-11-23 | William Harrison Zurn | Modular, robotic road repair machine |
US20050113994A1 (en) * | 2003-11-21 | 2005-05-26 | Harris Corporation | Mobile data collection and processing system and methods |
US20050125145A1 (en) * | 2003-12-03 | 2005-06-09 | Denso Corporation | Electronic device and program for displaying map |
US20050140507A1 (en) * | 2003-12-24 | 2005-06-30 | Kwang Woo Nam | ULID data structure, ULID-based location acquisition method and location-based service system |
US20050149251A1 (en) * | 2000-07-18 | 2005-07-07 | University Of Minnesota | Real time high accuracy geospatial database for onboard intelligent vehicle applications |
US20050149259A1 (en) * | 1997-10-16 | 2005-07-07 | Kevin Cherveny | System and method for updating, enhancing, or refining a geographic database using feedback |
US20050174257A1 (en) * | 2002-03-05 | 2005-08-11 | The University Of Minnesota | Intersection assistance system and method |
US20050203681A1 (en) * | 2004-03-11 | 2005-09-15 | Minor John S.Jr. | Internet-enabled, auto-networking, wireless, sensor-capable, specific geographic location marker based communications network system |
US7020591B1 (en) * | 2001-09-05 | 2006-03-28 | Cogent Systems, Inc | Partial differential equation model for image feature extraction and identification |
WO2006074298A2 (en) * | 2005-01-06 | 2006-07-13 | Alan Shulman | Navigation and inspection system |
US7084903B2 (en) | 1998-05-18 | 2006-08-01 | International Business Machines Corporation | Image capturing system and method for automatically watermarking recorded parameters for providing digital image verification |
US20070035562A1 (en) * | 2002-09-25 | 2007-02-15 | Azuma Ronald T | Method and apparatus for image enhancement |
US20070046448A1 (en) * | 2002-09-20 | 2007-03-01 | M7 Visual Intelligence | Vehicle based data collection and processing system and imaging sensor system and methods thereof |
WO2007027847A2 (en) * | 2005-09-01 | 2007-03-08 | Geosim Systems Ltd. | System and method for cost-effective, high-fidelity 3d-modeling of large-scale urban environments |
US20070058048A1 (en) * | 2005-09-13 | 2007-03-15 | Toshiro Kinugasa | Photographing system for a moving apparatus |
US20070112525A1 (en) * | 2005-11-16 | 2007-05-17 | Songtao Li | System and device for image-based biological data quantification |
US20070133012A1 (en) * | 2003-09-22 | 2007-06-14 | Leica Geosystems Ag | Method and device for determining the actual position of a geodetic instrument |
US20070233361A1 (en) * | 2006-03-30 | 2007-10-04 | Ford Global Technologies, Llc | Centralized Image Processing For An Automobile With A Navigation System |
US20080002858A1 (en) * | 2006-06-15 | 2008-01-03 | Rafael - Armament Development Authority Ltd. | Photogrammetric mapping of inaccessible terrain |
WO2008044927A1 (en) * | 2006-10-09 | 2008-04-17 | Tele Atlas B.V. | Method and apparatus for generating an orthorectified tile |
US20080166011A1 (en) * | 2005-04-17 | 2008-07-10 | Manfred Dieter Martin Sever | Enhanced Gnss Signal Processing |
WO2008082423A1 (en) * | 2007-01-05 | 2008-07-10 | Alan Shulman | Navigation and inspection system |
US20080231707A1 (en) * | 2007-03-19 | 2008-09-25 | Fontana Duane T | Mobile security tower |
WO2008128348A1 (en) * | 2007-04-22 | 2008-10-30 | Ilookabout Inc. | Method of obtaining geographically related images using a vehicle |
US20080273771A1 (en) * | 2007-05-01 | 2008-11-06 | Ming Hsieh | Apparatus for capturing a high quality image of a moist finger |
US20080291280A1 (en) * | 2002-08-28 | 2008-11-27 | Peters Iii Leo J | Retinal array compound camera system having at least three imaging sensors |
US20080304723A1 (en) * | 2007-06-11 | 2008-12-11 | Ming Hsieh | Bio-reader device with ticket identification |
WO2009003529A1 (en) * | 2007-07-04 | 2009-01-08 | Saab Ab | Arrangement and method for providing a three dimensional map representation of an area |
US20090048938A1 (en) * | 2001-05-22 | 2009-02-19 | Dupray Dennis J | Real Estate Transaction System |
US20090129632A1 (en) * | 2007-09-13 | 2009-05-21 | Guanglin Ma | Method of object detection |
EP2076055A1 (en) * | 2007-12-27 | 2009-07-01 | Saab AB | Method for displaying a virtual image |
US20090237510A1 (en) * | 2008-03-19 | 2009-09-24 | Microsoft Corporation | Visualizing camera feeds on a map |
US20090268988A1 (en) * | 2002-02-14 | 2009-10-29 | Cogent Systems, Inc. | Method and apparatus for two dimensional image processing |
US20100027852A1 (en) * | 2004-11-12 | 2010-02-04 | Ming Hsieh | System and Method for Fast Biometric Pattern Matching |
US20100076710A1 (en) * | 2008-09-19 | 2010-03-25 | Caterpillar Inc. | Machine sensor calibration system |
US20100085185A1 (en) * | 2008-10-02 | 2010-04-08 | Certusview Technologies, Llc | Methods and apparatus for generating electronic records of locate operations |
US20100085701A1 (en) * | 2008-10-02 | 2010-04-08 | Certusview Technologies, Llc | Marking device docking stations having security features and methods of using same |
US20100094553A1 (en) * | 2007-03-13 | 2010-04-15 | Certusview Technologies, Llc | Systems and methods for using location data and/or time data to electronically display dispensing of markers by a marking system or marking tool |
US20100100321A1 (en) * | 2008-10-16 | 2010-04-22 | Michael Koenig | System and method for use of a vehicle back-up camera as a dead-reckoning sensor |
US7737841B2 (en) | 2006-07-14 | 2010-06-15 | Remotemdx | Alarm and alarm management system for remote tracking devices |
US20100188216A1 (en) * | 2008-10-02 | 2010-07-29 | Certusview Technologies, Llc | Methods and apparatus for generating alerts on a locate device, based on comparing electronic locate information to facilities map information and/or other image information |
US20100188088A1 (en) * | 2008-10-02 | 2010-07-29 | Certusview Technologies, Llc | Methods and apparatus for displaying and processing facilities map information and/or other image information on a locate device |
US20100188215A1 (en) * | 2008-10-02 | 2010-07-29 | Certusview Technologies, Llc | Methods and apparatus for generating alerts on a marking device, based on comparing electronic marking information to facilities map information and/or other image information |
US20100189887A1 (en) * | 2008-10-02 | 2010-07-29 | Certusview Technologies, Llc | Marking apparatus having enhanced features for underground facility marking operations, and associated methods and systems |
US20100188407A1 (en) * | 2008-10-02 | 2010-07-29 | Certusview Technologies, Llc | Methods and apparatus for displaying and processing facilities map information and/or other image information on a marking device |
US20100189312A1 (en) * | 2008-10-02 | 2010-07-29 | Certusview Technologies, Llc | Methods and apparatus for overlaying electronic locate information on facilities map information and/or other image information displayed on a locate device |
US20100198663A1 (en) * | 2008-10-02 | 2010-08-05 | Certusview Technologies, Llc | Methods and apparatus for overlaying electronic marking information on facilities map information and/or other image information displayed on a marking device |
US20100220173A1 (en) * | 2009-02-20 | 2010-09-02 | Google Inc. | Estimation of Panoramic Camera Orientation Relative to a Vehicle Coordinate Frame |
US20100235095A1 (en) * | 2002-09-20 | 2010-09-16 | M7 Visual Intelligence, L.P. | Self-calibrated, remote imaging and data processing system |
US7804412B2 (en) | 2005-08-10 | 2010-09-28 | Securealert, Inc. | Remote tracking and communication device |
US20100253513A1 (en) * | 2008-10-02 | 2010-10-07 | Certusview Technologies, Llc | Locate transmitter having enhanced features for underground facility locate operations, and associated methods and systems |
US20100268697A1 (en) * | 2002-12-17 | 2010-10-21 | Evolution Robotics, Inc. | Systems and methods for using multiple hypotheses in a visual simultaneous localization and mapping system |
US20100274434A1 (en) * | 2009-04-28 | 2010-10-28 | Caterpillar Inc. | Position monitoring system for a mobile machine |
FR2947980A1 (en) * | 2009-07-10 | 2011-01-14 | Micromega | Route 's image acquisition system for realization of ultra-high definition animated sequence of e.g. virtual promenade in public place, has housing to control acquisition of images of route using photographic apparatus |
US20110053610A1 (en) * | 1992-11-09 | 2011-03-03 | Adc Technology Inc. | Portable communicator |
US20110064312A1 (en) * | 2009-09-14 | 2011-03-17 | Janky James M | Image-based georeferencing |
US20110063432A1 (en) * | 2000-10-06 | 2011-03-17 | Enrico Di Bernardo | System and method for creating, storing and utilizing images of a geographic location |
US20110087662A1 (en) * | 2009-09-30 | 2011-04-14 | Darby Jr George Derrick | Visual organization of information via associated geospatial data |
US7936262B2 (en) | 2006-07-14 | 2011-05-03 | Securealert, Inc. | Remote tracking system with a dedicated monitoring center |
US20110143707A1 (en) * | 2009-12-16 | 2011-06-16 | Darby Jr George Derrick | Incident reporting |
US20110153266A1 (en) * | 2009-12-23 | 2011-06-23 | Regents Of The University Of Minnesota | Augmented vehicle location system |
US20110235923A1 (en) * | 2009-09-14 | 2011-09-29 | Weisenburger Shawn D | Accurate digitization of a georeferenced image |
US20120039524A1 (en) * | 2003-12-23 | 2012-02-16 | Jan Anders Linnenkohl | Method for recognizing a structure to be applied to a substrate, with the aid of several cameras and device therefore |
US8209120B2 (en) | 1997-10-22 | 2012-06-26 | American Vehicular Sciences Llc | Vehicular map database management techniques |
US20120191724A1 (en) * | 2011-01-26 | 2012-07-26 | Tucek Joseph A | Storage of data objects based on a time of creation |
US8232876B2 (en) | 2008-03-07 | 2012-07-31 | Securealert, Inc. | System and method for monitoring individuals using a beacon and intelligent remote tracking device |
US20120197519A1 (en) * | 2011-01-31 | 2012-08-02 | James Joseph Richardson | Coded marker navigation system and method |
US8311765B2 (en) | 2009-08-11 | 2012-11-13 | Certusview Technologies, Llc | Locating equipment communicatively coupled to or equipped with a mobile/portable device |
US8361543B2 (en) | 2008-10-02 | 2013-01-29 | Certusview Technologies, Llc | Methods and apparatus for displaying an electronic rendering of a marking operation based on an electronic record of marking information |
US8374789B2 (en) | 2007-04-04 | 2013-02-12 | Certusview Technologies, Llc | Systems and methods for using marking information to electronically display dispensing of markers by a marking system or marking tool |
US20130050474A1 (en) * | 2010-05-10 | 2013-02-28 | Leica Geosystems Ag | Surveying method |
US8416995B2 (en) | 2008-02-12 | 2013-04-09 | Certusview Technologies, Llc | Electronic manifest of underground facility locate marks |
US8462745B2 (en) | 2008-06-16 | 2013-06-11 | Skyhook Wireless, Inc. | Methods and systems for determining location using a cellular and WLAN positioning system by selecting the best WLAN PS solution |
US8473209B2 (en) | 2007-03-13 | 2013-06-25 | Certusview Technologies, Llc | Marking apparatus and marking methods using marking dispenser with machine-readable ID mechanism |
US8478523B2 (en) | 2007-03-13 | 2013-07-02 | Certusview Technologies, Llc | Marking apparatus and methods for creating an electronic record of marking apparatus operations |
US8514070B2 (en) | 2010-04-07 | 2013-08-20 | Securealert, Inc. | Tracking device incorporating enhanced security mounting strap |
US8620616B2 (en) | 2009-08-20 | 2013-12-31 | Certusview Technologies, Llc | Methods and apparatus for assessing marking operations based on acceleration information |
US8620572B2 (en) | 2009-08-20 | 2013-12-31 | Certusview Technologies, Llc | Marking device with transmitter for triangulating location during locate operations |
US8626571B2 (en) | 2009-02-11 | 2014-01-07 | Certusview Technologies, Llc | Management system, and associated methods and apparatus, for dispatching tickets, receiving field information, and performing a quality assessment for underground facility locate and/or marking operations |
US8638375B2 (en) | 2011-05-17 | 2014-01-28 | Trimble Navigation Limited | Recording data with an integrated field-portable device |
EP2704855A2 (en) * | 2011-05-02 | 2014-03-12 | Certusview Technologies LLC | Marking methods, apparatus and systems including optical flow-based dead reckoning features |
US8671741B2 (en) | 2011-06-29 | 2014-03-18 | Trimble Navigation Limited | Extendable moisture content sensing system |
US20140085472A1 (en) * | 2012-09-26 | 2014-03-27 | Magna Electronics Inc. | Trailer angle detection system |
US8731836B2 (en) | 2010-10-25 | 2014-05-20 | Trimble Navigation Limited | Wide-area agricultural monitoring and prediction |
US20140160276A1 (en) * | 2012-09-26 | 2014-06-12 | Magna Electronics Inc. | Vehicle vision system with trailer angle detection |
US8768667B2 (en) | 2010-10-25 | 2014-07-01 | Trimble Navigation Limited | Water erosion management incorporating topography, soil type, and weather statistics |
US8798840B2 (en) | 2011-09-30 | 2014-08-05 | Irobot Corporation | Adaptive mapping with spatial summaries of sensor data |
US8797210B2 (en) | 2006-07-14 | 2014-08-05 | Securealert, Inc. | Remote tracking device and a system and method for two-way voice communication between the device and a monitoring center |
US20140249752A1 (en) * | 2011-09-30 | 2014-09-04 | The Chancellor Masters And Scholars Of The University Of Oxford | Localising a vehicle along a route |
US8855937B2 (en) | 2010-10-25 | 2014-10-07 | Trimble Navigation Limited | Crop characteristic estimation |
US20140303923A1 (en) * | 2013-04-03 | 2014-10-09 | Caterpillar Inc. | System for Determining Error in a Sensed Machine Position |
US8965700B2 (en) | 2008-10-02 | 2015-02-24 | Certusview Technologies, Llc | Methods and apparatus for generating an electronic record of environmental landmarks based on marking device actuations |
US8994591B2 (en) | 1996-09-09 | 2015-03-31 | Tracbeam Llc | Locating a mobile station and applications therefor |
US8994822B2 (en) | 2002-08-28 | 2015-03-31 | Visual Intelligence Lp | Infrastructure mapping system and method |
US9004004B2 (en) | 2008-07-10 | 2015-04-14 | Certusview Technologies, Llc | Optical sensing methods and apparatus for detecting a color of a marking substance |
US9020637B2 (en) | 2012-11-02 | 2015-04-28 | Irobot Corporation | Simultaneous localization and mapping for a mobile robot |
US9037396B2 (en) | 2013-05-23 | 2015-05-19 | Irobot Corporation | Simultaneous localization and mapping for a mobile robot |
US9046413B2 (en) | 2010-08-13 | 2015-06-02 | Certusview Technologies, Llc | Methods, apparatus and systems for surface type detection in connection with locate and marking operations |
US9060341B2 (en) | 1996-09-09 | 2015-06-16 | Tracbeam, Llc | System and method for hybriding wireless location techniques |
US9058633B2 (en) | 2010-10-25 | 2015-06-16 | Trimble Navigation Limited | Wide-area agricultural monitoring and prediction |
US9097522B2 (en) | 2009-08-20 | 2015-08-04 | Certusview Technologies, Llc | Methods and marking devices with mechanisms for indicating and/or detecting marking material color |
US20150222931A1 (en) * | 2014-02-05 | 2015-08-06 | ReallyColor, LLC | Difference images and difference image strips |
US9124780B2 (en) | 2010-09-17 | 2015-09-01 | Certusview Technologies, Llc | Methods and apparatus for tracking motion and/or orientation of a marking device |
US9134398B2 (en) | 1996-09-09 | 2015-09-15 | Tracbeam Llc | Wireless location using network centric location estimators |
US9208458B2 (en) | 2008-10-02 | 2015-12-08 | Certusview Technologies, Llc | Methods and apparatus for analyzing locate and marking operations with respect to facilities maps |
US9213905B2 (en) | 2010-10-25 | 2015-12-15 | Trimble Navigation Limited | Automatic obstacle location mapping |
EP2956800A1 (en) * | 2013-02-13 | 2015-12-23 | SeeScan, Inc. | Optical ground tracking apparatus, systems, and methods |
FR3023910A1 (en) * | 2014-07-16 | 2016-01-22 | Cie Maritime D Expertises | IMAGE RECORDING SYSTEM FOR REAL-TIME ODOMETRY AND THE PRODUCTION OF A THREE-DIMENSIONAL MODEL |
US9286810B2 (en) | 2010-09-24 | 2016-03-15 | Irobot Corporation | Systems and methods for VSLAM optimization |
US9297899B2 (en) | 2011-09-30 | 2016-03-29 | The Chancellor Masters And Scholars Of The University Of Oxford | Determining extrinsic calibration parameters for a sensor |
US9324003B2 (en) | 2009-09-14 | 2016-04-26 | Trimble Navigation Limited | Location of image capture device and object features in a captured image |
US9372117B2 (en) | 2012-02-13 | 2016-06-21 | SeeScan, Inc. | Optical ground tracking apparatus, systems, and methods |
US9403482B2 (en) | 2013-11-22 | 2016-08-02 | At&T Intellectual Property I, L.P. | Enhanced view for connected cars |
US9530208B1 (en) * | 2011-08-04 | 2016-12-27 | Amazon Technologies, Inc. | Registration of low contrast images |
US9538493B2 (en) | 2010-08-23 | 2017-01-03 | Finetrak, Llc | Locating a mobile station and applications therefor |
US20170113497A1 (en) * | 2015-10-23 | 2017-04-27 | Deere & Company | System to influence the position of a vehicle |
US20170174128A1 (en) * | 2015-12-17 | 2017-06-22 | Ford Global Technologies, Llc | Centerline method for trailer hitch angle detection |
US9696448B2 (en) | 2010-06-15 | 2017-07-04 | SeeScan, Inc. | Ground tracking devices and methods for use with a utility locator |
US9714037B2 (en) | 2014-08-18 | 2017-07-25 | Trimble Navigation Limited | Detection of driver behaviors using in-vehicle systems and methods |
WO2017183001A1 (en) * | 2016-04-22 | 2017-10-26 | Turflynx, Lda. | Automated topographic mapping system" |
US20170320437A1 (en) * | 2015-01-27 | 2017-11-09 | Bayerische Motoren Werke Aktiengesellschaft | Measurement of a Dimension on a Surface |
US9846848B2 (en) | 2010-10-25 | 2017-12-19 | Trimble Inc. | Exchanging water allocation credits |
US10070101B2 (en) | 2011-09-30 | 2018-09-04 | The Chancellor Masters And Scholars Of The University Of Oxford | Localising transportable apparatus |
US10115158B2 (en) | 2010-10-25 | 2018-10-30 | Trimble Inc. | Generating a crop recommendation |
US10161746B2 (en) | 2014-08-18 | 2018-12-25 | Trimble Navigation Limited | Systems and methods for cargo management |
US10204159B2 (en) | 2015-08-21 | 2019-02-12 | Trimble Navigation Limited | On-demand system and method for retrieving video from a commercial vehicle |
US10361719B2 (en) | 2016-03-02 | 2019-07-23 | Spookfish Innovations Pty Ltd. | Method of managing data captured in an aerial camera system |
US20190266769A1 (en) * | 2018-02-23 | 2019-08-29 | Korea Institute Of Geoscience And Mineral Resources | Apparatus for editing geological elements using touch-based interface |
WO2020076737A1 (en) * | 2018-10-07 | 2020-04-16 | Ocula Corporation | Fixed-element digital-optical measuring device |
US10641861B2 (en) | 2000-06-02 | 2020-05-05 | Dennis J. Dupray | Services and applications for a communications network |
US10684350B2 (en) | 2000-06-02 | 2020-06-16 | Tracbeam Llc | Services and applications for a communications network |
US10686976B2 (en) | 2014-08-18 | 2020-06-16 | Trimble Inc. | System and method for modifying onboard event detection and/or image capture strategy using external source data |
US11052287B2 (en) | 2018-01-07 | 2021-07-06 | Ocula Corporation | Digital-optical object tracker |
US11096026B2 (en) | 2019-03-13 | 2021-08-17 | Here Global B.V. | Road network change detection and local propagation of detected change |
US11255680B2 (en) | 2019-03-13 | 2022-02-22 | Here Global B.V. | Maplets for maintaining and updating a self-healing high definition map |
US11280622B2 (en) | 2019-03-13 | 2022-03-22 | Here Global B.V. | Maplets for maintaining and updating a self-healing high definition map |
US11287266B2 (en) * | 2019-03-13 | 2022-03-29 | Here Global B.V. | Maplets for maintaining and updating a self-healing high definition map |
US11287267B2 (en) | 2019-03-13 | 2022-03-29 | Here Global B.V. | Maplets for maintaining and updating a self-healing high definition map |
USRE49105E1 (en) | 2002-09-20 | 2022-06-14 | Vi Technologies, Llc | Self-calibrated, remote imaging and data processing system |
US11402220B2 (en) | 2019-03-13 | 2022-08-02 | Here Global B.V. | Maplets for maintaining and updating a self-healing high definition map |
Citations (26)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US2910910A (en) * | 1957-12-20 | 1959-11-03 | Sperry Rand Corp Ford Instr Co | Automatic stereoplotter |
US3873226A (en) * | 1973-07-11 | 1975-03-25 | Laserplane Corp | Laser beam control system for road paving machines |
US4140193A (en) * | 1977-04-25 | 1979-02-20 | Miller Charles P | Automatic steering for construction machines |
US4558359A (en) * | 1983-11-01 | 1985-12-10 | The United States Of America As Represented By The Secretary Of The Air Force | Anaglyphic stereoscopic image apparatus and method |
US4731864A (en) * | 1986-02-21 | 1988-03-15 | Rca Corporation | Photographic camera simulation systems working from computer memory |
US4837700A (en) * | 1987-10-27 | 1989-06-06 | Pioneer Electronic Corporation | Method and apparatus for processing data in a GPS receiving device in a road vehicle |
US4839656A (en) * | 1984-08-16 | 1989-06-13 | Geostar Corporation | Position determination and message transfer system employing satellites and stored terrain map |
US4868771A (en) * | 1987-03-30 | 1989-09-19 | General Electric Company | Computer image generation with topographical response |
US4875034A (en) * | 1988-02-08 | 1989-10-17 | Brokenshire Daniel A | Stereoscopic graphics display system with multiple windows for displaying multiple images |
US4890233A (en) * | 1986-10-27 | 1989-12-26 | Pioneer Electronic Corporation | Vehicle bearing detection and data processing methods applicable to vehicle navigation system |
US4949268A (en) * | 1987-09-22 | 1990-08-14 | Kabushiki Kaisha Toyota Chuo Kenkyusho | Land vehicle navigation system |
US5030957A (en) * | 1991-02-26 | 1991-07-09 | The United States Of America As Represented By The Secretary Of The Navy | Method of simultaneously measuring orthometric and geometric heights |
US5087919A (en) * | 1989-09-05 | 1992-02-11 | Pioneer Electronic Corporation | On-board navigation apparatus |
US5111209A (en) * | 1990-05-23 | 1992-05-05 | Sony Corporation | Satellite-based position determining system |
US5119301A (en) * | 1989-04-17 | 1992-06-02 | Sumitomo Electric Industries, Ltd. | Vehicle location detecting system |
US5144318A (en) * | 1989-01-26 | 1992-09-01 | Nissan Motor Company, Limited | Apparatus and method for navigating vehicle using GPS |
US5166878A (en) * | 1989-04-07 | 1992-11-24 | Poelstra Theo J | Method and apparatus of computer aided surveying for obtaining digital, 3d topographic information |
US5210540A (en) * | 1991-06-18 | 1993-05-11 | Pioneer Electronic Corporation | Global positioning system |
US5214757A (en) * | 1990-08-07 | 1993-05-25 | Georesearch, Inc. | Interactive automated mapping system |
US5247356A (en) * | 1992-02-14 | 1993-09-21 | Ciampa John A | Method and apparatus for mapping and measuring land |
US5257195A (en) * | 1990-09-12 | 1993-10-26 | Mitsubishi Denki K.K. | On-board vehicle position detector |
US5262867A (en) * | 1990-06-20 | 1993-11-16 | Sony Corporation | Electronic camera and device for panoramic imaging and object searching |
US5267042A (en) * | 1991-01-11 | 1993-11-30 | Pioneer Electronic Corporation | Image pickup device for automatically recording the location where an image is recorded |
US5317515A (en) * | 1991-01-23 | 1994-05-31 | Sumitomo Electric Industries, Ltd. | Vehicle heading correction apparatus |
US5394333A (en) * | 1991-12-23 | 1995-02-28 | Zexel Usa Corp. | Correcting GPS position in a hybrid naviation system |
US5416712A (en) * | 1993-05-28 | 1995-05-16 | Trimble Navigation Limited | Position and velocity estimation system for adaptive weighting of GPS and dead-reckoning information |
-
1993
- 1993-07-22 US US08/094,882 patent/US5517419A/en not_active Expired - Fee Related
Patent Citations (26)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US2910910A (en) * | 1957-12-20 | 1959-11-03 | Sperry Rand Corp Ford Instr Co | Automatic stereoplotter |
US3873226A (en) * | 1973-07-11 | 1975-03-25 | Laserplane Corp | Laser beam control system for road paving machines |
US4140193A (en) * | 1977-04-25 | 1979-02-20 | Miller Charles P | Automatic steering for construction machines |
US4558359A (en) * | 1983-11-01 | 1985-12-10 | The United States Of America As Represented By The Secretary Of The Air Force | Anaglyphic stereoscopic image apparatus and method |
US4839656A (en) * | 1984-08-16 | 1989-06-13 | Geostar Corporation | Position determination and message transfer system employing satellites and stored terrain map |
US4731864A (en) * | 1986-02-21 | 1988-03-15 | Rca Corporation | Photographic camera simulation systems working from computer memory |
US4890233A (en) * | 1986-10-27 | 1989-12-26 | Pioneer Electronic Corporation | Vehicle bearing detection and data processing methods applicable to vehicle navigation system |
US4868771A (en) * | 1987-03-30 | 1989-09-19 | General Electric Company | Computer image generation with topographical response |
US4949268A (en) * | 1987-09-22 | 1990-08-14 | Kabushiki Kaisha Toyota Chuo Kenkyusho | Land vehicle navigation system |
US4837700A (en) * | 1987-10-27 | 1989-06-06 | Pioneer Electronic Corporation | Method and apparatus for processing data in a GPS receiving device in a road vehicle |
US4875034A (en) * | 1988-02-08 | 1989-10-17 | Brokenshire Daniel A | Stereoscopic graphics display system with multiple windows for displaying multiple images |
US5144318A (en) * | 1989-01-26 | 1992-09-01 | Nissan Motor Company, Limited | Apparatus and method for navigating vehicle using GPS |
US5166878A (en) * | 1989-04-07 | 1992-11-24 | Poelstra Theo J | Method and apparatus of computer aided surveying for obtaining digital, 3d topographic information |
US5119301A (en) * | 1989-04-17 | 1992-06-02 | Sumitomo Electric Industries, Ltd. | Vehicle location detecting system |
US5087919A (en) * | 1989-09-05 | 1992-02-11 | Pioneer Electronic Corporation | On-board navigation apparatus |
US5111209A (en) * | 1990-05-23 | 1992-05-05 | Sony Corporation | Satellite-based position determining system |
US5262867A (en) * | 1990-06-20 | 1993-11-16 | Sony Corporation | Electronic camera and device for panoramic imaging and object searching |
US5214757A (en) * | 1990-08-07 | 1993-05-25 | Georesearch, Inc. | Interactive automated mapping system |
US5257195A (en) * | 1990-09-12 | 1993-10-26 | Mitsubishi Denki K.K. | On-board vehicle position detector |
US5267042A (en) * | 1991-01-11 | 1993-11-30 | Pioneer Electronic Corporation | Image pickup device for automatically recording the location where an image is recorded |
US5317515A (en) * | 1991-01-23 | 1994-05-31 | Sumitomo Electric Industries, Ltd. | Vehicle heading correction apparatus |
US5030957A (en) * | 1991-02-26 | 1991-07-09 | The United States Of America As Represented By The Secretary Of The Navy | Method of simultaneously measuring orthometric and geometric heights |
US5210540A (en) * | 1991-06-18 | 1993-05-11 | Pioneer Electronic Corporation | Global positioning system |
US5394333A (en) * | 1991-12-23 | 1995-02-28 | Zexel Usa Corp. | Correcting GPS position in a hybrid naviation system |
US5247356A (en) * | 1992-02-14 | 1993-09-21 | Ciampa John A | Method and apparatus for mapping and measuring land |
US5416712A (en) * | 1993-05-28 | 1995-05-16 | Trimble Navigation Limited | Position and velocity estimation system for adaptive weighting of GPS and dead-reckoning information |
Cited By (384)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20110053610A1 (en) * | 1992-11-09 | 2011-03-03 | Adc Technology Inc. | Portable communicator |
US8103313B2 (en) | 1992-11-09 | 2012-01-24 | Adc Technology Inc. | Portable communicator |
US20020163521A1 (en) * | 1993-09-10 | 2002-11-07 | John Ellenby | Electro-optic vision systems |
US7301536B2 (en) * | 1993-09-10 | 2007-11-27 | Geovector Corporation | Electro-optic vision systems |
US5857066A (en) * | 1994-12-30 | 1999-01-05 | Naturaland Trust | Method and system for producing an improved hiking trail map |
US5642285A (en) * | 1995-01-31 | 1997-06-24 | Trimble Navigation Limited | Outdoor movie camera GPS-position and time code data-logging for special effects production |
US6211816B1 (en) | 1995-02-18 | 2001-04-03 | Diehl Stiftung & Co. | Process and apparatus for target or position reconnaissance |
US5721685A (en) * | 1995-06-29 | 1998-02-24 | Holland; Robert E. | Digi-track digital roadway and railway analyzer |
US5893043A (en) * | 1995-08-30 | 1999-04-06 | Daimler-Benz Ag | Process and arrangement for determining the position of at least one point of a track-guided vehicle |
US5928309A (en) * | 1996-02-05 | 1999-07-27 | Korver; Kelvin | Navigation/guidance system for a land-based vehicle |
US9277525B2 (en) | 1996-09-09 | 2016-03-01 | Tracbeam, Llc | Wireless location using location estimators |
US8994591B2 (en) | 1996-09-09 | 2015-03-31 | Tracbeam Llc | Locating a mobile station and applications therefor |
US9134398B2 (en) | 1996-09-09 | 2015-09-15 | Tracbeam Llc | Wireless location using network centric location estimators |
US9060341B2 (en) | 1996-09-09 | 2015-06-16 | Tracbeam, Llc | System and method for hybriding wireless location techniques |
US9237543B2 (en) | 1996-09-09 | 2016-01-12 | Tracbeam, Llc | Wireless location using signal fingerprinting and other location estimators |
US6173277B1 (en) * | 1996-10-25 | 2001-01-09 | Navigation Technologies Corporation | Interface layer for navigation system |
US6370539B1 (en) | 1996-10-25 | 2002-04-09 | Navigation Technologies Corporation | Interface layer for navigation system |
US5938709A (en) * | 1996-11-22 | 1999-08-17 | Case Corporation | Panning display of GPS field maps |
US5870689A (en) * | 1996-11-22 | 1999-02-09 | Case Corporation | Scouting system for an agricultural field |
US5878371A (en) * | 1996-11-22 | 1999-03-02 | Case Corporation | Method and apparatus for synthesizing site-specific farming data |
US5978723A (en) * | 1996-11-22 | 1999-11-02 | Case Corporation | Automatic identification of field boundaries in a site-specific farming system |
US6029106A (en) * | 1996-11-22 | 2000-02-22 | Case Corporation | Global position correction for the electronic display of field maps |
US6061618A (en) * | 1996-11-22 | 2000-05-09 | Case Corporation | Panning display of GPS field maps |
US5961573A (en) * | 1996-11-22 | 1999-10-05 | Case Corporation | Height control of an agricultural tool in a site-specific farming system |
US5902343A (en) * | 1996-11-22 | 1999-05-11 | Case Corporation | Automatic scaling of GPS field maps |
US5908458A (en) * | 1997-02-06 | 1999-06-01 | Carnegie Mellon Technical Transfer | Automated system and method for control of movement using parameterized scripts |
WO1998036288A1 (en) * | 1997-02-14 | 1998-08-20 | Kelvin Korver | A navigation/guidance system for a land-based vehicle |
US5986547A (en) * | 1997-03-03 | 1999-11-16 | Korver; Kelvin | Apparatus and method for improving the safety of railroad systems |
US6373403B1 (en) | 1997-03-03 | 2002-04-16 | Kelvin Korver | Apparatus and method for improving the safety of railroad systems |
US5930743A (en) * | 1997-03-10 | 1999-07-27 | Rgs, Llc | Method of monitoring the depth of snow |
US5761095A (en) * | 1997-03-10 | 1998-06-02 | Rgs, Llc | System for monitoring the depth of snow |
US5999878A (en) * | 1997-04-11 | 1999-12-07 | Navigation Technologies Corp. | System and method for acquiring geographic data for forming a digital database of road geometry in a geographic region |
US6202065B1 (en) * | 1997-07-02 | 2001-03-13 | Travelocity.Com Lp | Information search and retrieval with geographical coordinates |
US20030120650A1 (en) * | 1997-07-02 | 2003-06-26 | Travelocity.Com Lp | Methods and system for information search and retrieval |
US5995895A (en) * | 1997-07-15 | 1999-11-30 | Case Corporation | Control of vehicular systems in response to anticipated conditions predicted using predetermined geo-referenced maps |
US6208353B1 (en) | 1997-09-05 | 2001-03-27 | ECOLE POLYTECHNIQUE FEDéRALE DE LAUSANNE | Automated cartographic annotation of digital images |
US20050149259A1 (en) * | 1997-10-16 | 2005-07-07 | Kevin Cherveny | System and method for updating, enhancing, or refining a geographic database using feedback |
US8209120B2 (en) | 1997-10-22 | 2012-06-26 | American Vehicular Sciences Llc | Vehicular map database management techniques |
US6950120B1 (en) | 1997-12-03 | 2005-09-27 | Canon Kabushiki Kaisha | Camera layout for acquiring images used in panoramic synthesis |
EP0921375A1 (en) * | 1997-12-03 | 1999-06-09 | Mixed Reality Systems Laboratory Inc. | Camera layout for acquiring images |
US6335754B1 (en) | 1997-12-03 | 2002-01-01 | Mixed Reality Systems Laboratory, Inc. | Synchronization between image data and location information for panoramic image synthesis |
EP0921376A1 (en) * | 1997-12-03 | 1999-06-09 | Mixed Reality Systems Laboratory Inc. | Panoramic image acquisition system |
US6278938B1 (en) * | 1997-12-24 | 2001-08-21 | Wendell Alumbaugh | Method of processing waypoint data for travel guide device |
US6504571B1 (en) | 1998-05-18 | 2003-01-07 | International Business Machines Corporation | System and methods for querying digital image archives using recorded parameters |
US7084903B2 (en) | 1998-05-18 | 2006-08-01 | International Business Machines Corporation | Image capturing system and method for automatically watermarking recorded parameters for providing digital image verification |
US6023241A (en) * | 1998-11-13 | 2000-02-08 | Intel Corporation | Digital multimedia navigation player/recorder |
US6212471B1 (en) | 1999-04-28 | 2001-04-03 | Lockheed Martin Corporation | Dynamic optimal sensor employment for searching an area |
US7015967B1 (en) | 1999-05-10 | 2006-03-21 | Kabushiki Kaisha Topcon | Image formation system |
EP1052599A3 (en) * | 1999-05-10 | 2003-02-12 | Kabushiki Kaisha Topcon | Formation of orthogonally projected image from centrally projected image |
EP1052599A2 (en) * | 1999-05-10 | 2000-11-15 | Kabushiki Kaisha Topcon | Formation of orthogonally projected image from centrally projected image |
EP1181785A1 (en) * | 1999-05-25 | 2002-02-27 | Carlson Software, Inc. | Real-time surveying/earth moving system |
EP1181785A4 (en) * | 1999-05-25 | 2003-07-30 | Carlson Software Inc | Real-time surveying/earth moving system |
US6618497B1 (en) * | 1999-06-24 | 2003-09-09 | Pentax Corporation | Photogrammetric image processing apparatus and method |
US6285320B1 (en) | 1999-09-03 | 2001-09-04 | Sikorsky Aircraft Corporation | Apparatus and method for mapping surfaces of an object |
WO2001037000A2 (en) * | 1999-11-04 | 2001-05-25 | Synexus Corporation | Apparatus and method for detecting heterogeneities by thermal imaging of microwave irradiated terrain |
WO2001037000A3 (en) * | 1999-11-04 | 2001-10-11 | Synexus Corp | Apparatus and method for detecting heterogeneities by thermal imaging of microwave irradiated terrain |
US6600990B2 (en) * | 2000-02-04 | 2003-07-29 | Pioneer Corporation | Device for copying map-information from car navigation system |
US6460260B1 (en) * | 2000-02-10 | 2002-10-08 | Caterpilar Inc. | Mobile cruiser machine for forestry applications |
US20030030636A1 (en) * | 2000-03-31 | 2003-02-13 | Olympus Optical Co., Ltd. | 3D image data publishing method and 3D image production system |
US6697752B1 (en) | 2000-05-19 | 2004-02-24 | K&L Technologies, Inc. | System, apparatus and method for testing navigation or guidance equipment |
US6487517B2 (en) * | 2000-05-25 | 2002-11-26 | Pentax Corporation | Target for photogrammetric analytical measurement system |
DE10125710B4 (en) * | 2000-05-25 | 2005-02-10 | Pentax Corp. | Target for a photogrammetric, analytical measuring system |
US10641861B2 (en) | 2000-06-02 | 2020-05-05 | Dennis J. Dupray | Services and applications for a communications network |
US10684350B2 (en) | 2000-06-02 | 2020-06-16 | Tracbeam Llc | Services and applications for a communications network |
US20050149251A1 (en) * | 2000-07-18 | 2005-07-07 | University Of Minnesota | Real time high accuracy geospatial database for onboard intelligent vehicle applications |
US7072764B2 (en) * | 2000-07-18 | 2006-07-04 | University Of Minnesota | Real time high accuracy geospatial database for onboard intelligent vehicle applications |
US6977630B1 (en) | 2000-07-18 | 2005-12-20 | University Of Minnesota | Mobility assist device |
US20020184236A1 (en) * | 2000-07-18 | 2002-12-05 | Max Donath | Real time high accuracy geospatial database for onboard intelligent vehicle applications |
US20040066376A1 (en) * | 2000-07-18 | 2004-04-08 | Max Donath | Mobility assist device |
US6278939B1 (en) | 2000-07-24 | 2001-08-21 | Navigation Technologies Corp. | Method and system for providing data from a remotely located geographic database for use in navigation system units |
US6292745B1 (en) | 2000-07-24 | 2001-09-18 | Navigation Technologies Corp. | Method and system for forming a database of geographic data for distribution to navigation system units |
GB2368219A (en) * | 2000-09-13 | 2002-04-24 | Roke Manor Research | Camera system with GPS |
US20020054223A1 (en) * | 2000-09-13 | 2002-05-09 | Spriggs Timothy John | Camera systems |
US6757445B1 (en) | 2000-10-04 | 2004-06-29 | Pixxures, Inc. | Method and apparatus for producing digital orthophotos using sparse stereo configurations and external models |
US8818138B2 (en) | 2000-10-06 | 2014-08-26 | Enrico Di Bernardo | System and method for creating, storing and utilizing images of a geographical location |
US20110063432A1 (en) * | 2000-10-06 | 2011-03-17 | Enrico Di Bernardo | System and method for creating, storing and utilizing images of a geographic location |
US10473465B2 (en) | 2000-10-06 | 2019-11-12 | Vederi, Llc | System and method for creating, storing and utilizing images of a geographical location |
US9644968B2 (en) | 2000-10-06 | 2017-05-09 | Vederi, Llc | System and method for creating, storing and utilizing images of a geographical location |
US8213749B2 (en) | 2000-10-06 | 2012-07-03 | Verderi, LLC | System and method for creating, storing and utilizing images of a geographic location |
US6725553B2 (en) | 2001-01-19 | 2004-04-27 | Donald R. Airey | Contour measuring device and method |
US6550151B2 (en) | 2001-01-19 | 2003-04-22 | Donald R. Airey | Contour measuring device and method |
WO2002068912A1 (en) * | 2001-02-23 | 2002-09-06 | Laboratoire Central Des Ponts Et Chaussees | System for measuring and reporting events along a route |
FR2821423A1 (en) * | 2001-02-23 | 2002-08-30 | France Etat Ponts Chaussees | SYSTEM AND METHOD FOR MEASURING AND RECORDING EVENTS ALONG A ROUTE |
US7120313B2 (en) * | 2001-03-07 | 2006-10-10 | Canon Kabushiki Kaisha | Image processing apparatus and method for producing a virtual space for walk-through |
US20020126913A1 (en) * | 2001-03-07 | 2002-09-12 | Daisuke Kotake | Image processing apparatus and method |
US11610241B2 (en) | 2001-05-22 | 2023-03-21 | Mobile Maven Llc | Real estate transaction system |
US20090048938A1 (en) * | 2001-05-22 | 2009-02-19 | Dupray Dennis J | Real Estate Transaction System |
US9875492B2 (en) | 2001-05-22 | 2018-01-23 | Dennis J. Dupray | Real estate transaction system |
US7552008B2 (en) | 2001-07-18 | 2009-06-23 | Regents Of The University Of Minnesota | Populating geospatial database for onboard intelligent vehicle applications |
US20030023614A1 (en) * | 2001-07-18 | 2003-01-30 | Newstrom Bryan J. | Populating geospatial database for onboard intelligent vehicle applications |
US7194393B2 (en) | 2001-09-05 | 2007-03-20 | Cogent Systems, Inc. | Numerical model for image feature extraction |
US20060115131A1 (en) * | 2001-09-05 | 2006-06-01 | Cogent Systems, Inc. | Numerical model for image feature extraction |
US7020591B1 (en) * | 2001-09-05 | 2006-03-28 | Cogent Systems, Inc | Partial differential equation model for image feature extraction and identification |
US7375728B2 (en) | 2001-10-01 | 2008-05-20 | University Of Minnesota | Virtual mirror |
US20030128182A1 (en) * | 2001-10-01 | 2003-07-10 | Max Donath | Virtual mirror |
US7747259B2 (en) * | 2001-10-09 | 2010-06-29 | Sirf Technology, Inc. | Method and system for sending location coded images over a wireless network |
US20040189517A1 (en) * | 2001-10-09 | 2004-09-30 | Ashutosh Pande | Method and system for sending location coded images over a wireless network |
US6821052B2 (en) * | 2001-10-09 | 2004-11-23 | William Harrison Zurn | Modular, robotic road repair machine |
US6751540B2 (en) | 2001-10-10 | 2004-06-15 | Caterpillar Inc | Method and apparatus for design placement for earthmoving applications |
US8254728B2 (en) | 2002-02-14 | 2012-08-28 | 3M Cogent, Inc. | Method and apparatus for two dimensional image processing |
US20090268988A1 (en) * | 2002-02-14 | 2009-10-29 | Cogent Systems, Inc. | Method and apparatus for two dimensional image processing |
US20050174257A1 (en) * | 2002-03-05 | 2005-08-11 | The University Of Minnesota | Intersection assistance system and method |
US7209051B2 (en) | 2002-03-05 | 2007-04-24 | University Of Minnesota | Intersection assistance system and method |
US8334903B2 (en) | 2002-08-28 | 2012-12-18 | Visual Intelligence, L.P. | Retinal array compound camera system having at least three imaging sensors |
US8994822B2 (en) | 2002-08-28 | 2015-03-31 | Visual Intelligence Lp | Infrastructure mapping system and method |
US20080291280A1 (en) * | 2002-08-28 | 2008-11-27 | Peters Iii Leo J | Retinal array compound camera system having at least three imaging sensors |
US8896695B2 (en) | 2002-08-28 | 2014-11-25 | Visual Intelligence Lp | Retinal concave array compound camera system |
US20090322883A1 (en) * | 2002-08-28 | 2009-12-31 | Visual Intelligence Systems, Inc. | Method of producing a remote imaging array |
US20090295924A1 (en) * | 2002-08-28 | 2009-12-03 | M7 Visual Intelligence, L.P. | Retinal concave array compound camera system |
US8471907B2 (en) | 2002-08-28 | 2013-06-25 | Visual Intelligence, LP | Method of producing a remote imaging array |
US9797980B2 (en) | 2002-09-20 | 2017-10-24 | Visual Intelligence Lp | Self-calibrated, remote imaging and data processing system |
US7725258B2 (en) | 2002-09-20 | 2010-05-25 | M7 Visual Intelligence, L.P. | Vehicle based data collection and processing system and imaging sensor system and methods thereof |
EA008402B1 (en) * | 2002-09-20 | 2007-04-27 | М7 Визьюал Интелидженс, Лп | Vehicle based data collection and processing system |
US8483960B2 (en) | 2002-09-20 | 2013-07-09 | Visual Intelligence, LP | Self-calibrated, remote imaging and data processing system |
US20040167709A1 (en) * | 2002-09-20 | 2004-08-26 | M7 Visual Intelligence, Lp | Vehicle based data collection and processing system |
US20070046448A1 (en) * | 2002-09-20 | 2007-03-01 | M7 Visual Intelligence | Vehicle based data collection and processing system and imaging sensor system and methods thereof |
USRE49105E1 (en) | 2002-09-20 | 2022-06-14 | Vi Technologies, Llc | Self-calibrated, remote imaging and data processing system |
US9389298B2 (en) | 2002-09-20 | 2016-07-12 | Visual Intelligence Lp | Self-calibrated, remote imaging and data processing system |
US7127348B2 (en) * | 2002-09-20 | 2006-10-24 | M7 Visual Intelligence, Lp | Vehicle based data collection and processing system |
US20100235095A1 (en) * | 2002-09-20 | 2010-09-16 | M7 Visual Intelligence, L.P. | Self-calibrated, remote imaging and data processing system |
WO2004028134A3 (en) * | 2002-09-20 | 2005-03-31 | M7 Visual Intelligence Lp | Vehicule based data collection and porcessing system |
US20040051680A1 (en) * | 2002-09-25 | 2004-03-18 | Azuma Ronald T. | Optical see-through augmented reality modified-scale display |
US7002551B2 (en) | 2002-09-25 | 2006-02-21 | Hrl Laboratories, Llc | Optical see-through augmented reality modified-scale display |
US20070035562A1 (en) * | 2002-09-25 | 2007-02-15 | Azuma Ronald T | Method and apparatus for image enhancement |
US20040068758A1 (en) * | 2002-10-02 | 2004-04-08 | Mike Daily | Dynamic video annotation |
US20040066391A1 (en) * | 2002-10-02 | 2004-04-08 | Mike Daily | Method and apparatus for static image enhancement |
US8274406B2 (en) | 2002-12-17 | 2012-09-25 | Evolution Robotics, Inc. | Systems and methods for using multiple hypotheses in a visual simultaneous localization and mapping system |
US20100280754A1 (en) * | 2002-12-17 | 2010-11-04 | Evolution Robotics, Inc. | Systems and methods for adding landmarks for visual simultaneous localization and mapping |
US8830091B2 (en) | 2002-12-17 | 2014-09-09 | Irobot Corporation | Systems and methods for using multiple hypotheses in a visual simultaneous localization and mapping system |
US9110470B2 (en) | 2002-12-17 | 2015-08-18 | Irobot Corporation | Systems and methods for using multiple hypotheses in a visual simultaneous localization and mapping system |
US8508388B2 (en) | 2002-12-17 | 2013-08-13 | Irobot Corporation | Systems and methods for using multiple hypotheses in a visual simultaneous localization and mapping system |
US20100268697A1 (en) * | 2002-12-17 | 2010-10-21 | Evolution Robotics, Inc. | Systems and methods for using multiple hypotheses in a visual simultaneous localization and mapping system |
US20100286905A1 (en) * | 2002-12-17 | 2010-11-11 | Evolution Robotics, Inc. | Systems and methods for filtering potentially unreliable visual data for visual simultaneous localization and mapping |
US8086419B2 (en) * | 2002-12-17 | 2011-12-27 | Evolution Robotics, Inc. | Systems and methods for adding landmarks for visual simultaneous localization and mapping |
US20100284621A1 (en) * | 2002-12-17 | 2010-11-11 | Evolution Robotics, Inc. | Systems and methods for adding a landmarks for visual simultaneous localization and mapping |
US9886037B2 (en) | 2002-12-17 | 2018-02-06 | Irobot Corporation | Systems and methods for using multiple hypotheses in a visual simultaneous localization and mapping system |
US8150650B2 (en) | 2002-12-17 | 2012-04-03 | Evolution Robotics, Inc. | Systems and methods for filtering potentially unreliable visual data for visual simultaneous localization and mapping |
US8095336B2 (en) * | 2002-12-17 | 2012-01-10 | Evolution Robotics, Inc. | Systems and methods for determining whether to add a landmark for visual simultaneous localization and mapping |
US8077913B2 (en) * | 2003-09-22 | 2011-12-13 | Leica Geosystems Ag | Method and device for determining the actual position of a geodetic instrument |
US20070133012A1 (en) * | 2003-09-22 | 2007-06-14 | Leica Geosystems Ag | Method and device for determining the actual position of a geodetic instrument |
US20050113994A1 (en) * | 2003-11-21 | 2005-05-26 | Harris Corporation | Mobile data collection and processing system and methods |
US7415335B2 (en) * | 2003-11-21 | 2008-08-19 | Harris Corporation | Mobile data collection and processing system and methods |
US20080027628A1 (en) * | 2003-12-03 | 2008-01-31 | Denso Corporation | Electronic device and program for displaying map |
US7734413B2 (en) | 2003-12-03 | 2010-06-08 | Denso Corporation | Electronic device and program for displaying map |
US7346451B2 (en) * | 2003-12-03 | 2008-03-18 | Denso Corporation | Electronic device and program for displaying map |
US20050125145A1 (en) * | 2003-12-03 | 2005-06-09 | Denso Corporation | Electronic device and program for displaying map |
US8538125B2 (en) * | 2003-12-23 | 2013-09-17 | Quiss Gmbh | Method for recognizing a structure to be applied to a substrate, with the aid of several cameras and device therefore |
US20120039524A1 (en) * | 2003-12-23 | 2012-02-16 | Jan Anders Linnenkohl | Method for recognizing a structure to be applied to a substrate, with the aid of several cameras and device therefore |
US20050140507A1 (en) * | 2003-12-24 | 2005-06-30 | Kwang Woo Nam | ULID data structure, ULID-based location acquisition method and location-based service system |
US7378956B2 (en) * | 2003-12-24 | 2008-05-27 | Electronics And Telecommunications Research Institute | ULID data structure, ULID-based location acquisition method and location-based service system |
US20050203681A1 (en) * | 2004-03-11 | 2005-09-15 | Minor John S.Jr. | Internet-enabled, auto-networking, wireless, sensor-capable, specific geographic location marker based communications network system |
US20100027852A1 (en) * | 2004-11-12 | 2010-02-04 | Ming Hsieh | System and Method for Fast Biometric Pattern Matching |
US8379982B2 (en) | 2004-11-12 | 2013-02-19 | 3M Cogent, Inc. | System and method for fast biometric pattern matching |
AU2006203980B2 (en) * | 2005-01-06 | 2010-04-22 | Alan Shulman | Navigation and inspection system |
US8000895B2 (en) | 2005-01-06 | 2011-08-16 | Doubleshot, Inc. | Navigation and inspection system |
WO2006074298A3 (en) * | 2005-01-06 | 2007-08-09 | Alan Shulman | Navigation and inspection system |
US20070061076A1 (en) * | 2005-01-06 | 2007-03-15 | Alan Shulman | Navigation and inspection system |
US8036827B2 (en) | 2005-01-06 | 2011-10-11 | Doubleshot, Inc. | Cognitive change detection system |
US7386394B2 (en) * | 2005-01-06 | 2008-06-10 | Doubleshot, Inc. | Navigation and inspection system |
US20090278938A1 (en) * | 2005-01-06 | 2009-11-12 | Doubleshot, Inc. | Cognitive Change Detection System |
US20090015685A1 (en) * | 2005-01-06 | 2009-01-15 | Doubleshot, Inc. | Navigation and Inspection System |
WO2006074298A2 (en) * | 2005-01-06 | 2006-07-13 | Alan Shulman | Navigation and inspection system |
US7541975B2 (en) | 2005-04-17 | 2009-06-02 | Trimble Navigation Limited | Enhanced GNSS signal processing |
US20080166011A1 (en) * | 2005-04-17 | 2008-07-10 | Manfred Dieter Martin Sever | Enhanced Gnss Signal Processing |
US8031077B2 (en) | 2005-08-10 | 2011-10-04 | Securealert, Inc. | Remote tracking and communication device |
US7804412B2 (en) | 2005-08-10 | 2010-09-28 | Securealert, Inc. | Remote tracking and communication device |
US8818076B2 (en) | 2005-09-01 | 2014-08-26 | Victor Shenkar | System and method for cost-effective, high-fidelity 3D-modeling of large-scale urban environments |
WO2007027847A3 (en) * | 2005-09-01 | 2007-06-28 | Geosim Systems Ltd | System and method for cost-effective, high-fidelity 3d-modeling of large-scale urban environments |
WO2007027847A2 (en) * | 2005-09-01 | 2007-03-08 | Geosim Systems Ltd. | System and method for cost-effective, high-fidelity 3d-modeling of large-scale urban environments |
US7612798B2 (en) * | 2005-09-13 | 2009-11-03 | Xanavi Informatics Corporation | Photographing system for a moving apparatus |
US20070058048A1 (en) * | 2005-09-13 | 2007-03-15 | Toshiro Kinugasa | Photographing system for a moving apparatus |
US8583379B2 (en) | 2005-11-16 | 2013-11-12 | 3M Innovative Properties Company | Method and device for image-based biological data quantification |
US8131477B2 (en) | 2005-11-16 | 2012-03-06 | 3M Cogent, Inc. | Method and device for image-based biological data quantification |
US20070112525A1 (en) * | 2005-11-16 | 2007-05-17 | Songtao Li | System and device for image-based biological data quantification |
US20070233361A1 (en) * | 2006-03-30 | 2007-10-04 | Ford Global Technologies, Llc | Centralized Image Processing For An Automobile With A Navigation System |
US20080002858A1 (en) * | 2006-06-15 | 2008-01-03 | Rafael - Armament Development Authority Ltd. | Photogrammetric mapping of inaccessible terrain |
US7936262B2 (en) | 2006-07-14 | 2011-05-03 | Securealert, Inc. | Remote tracking system with a dedicated monitoring center |
US8013736B2 (en) | 2006-07-14 | 2011-09-06 | Securealert, Inc. | Alarm and alarm management system for remote tracking devices |
US7737841B2 (en) | 2006-07-14 | 2010-06-15 | Remotemdx | Alarm and alarm management system for remote tracking devices |
US8797210B2 (en) | 2006-07-14 | 2014-08-05 | Securealert, Inc. | Remote tracking device and a system and method for two-way voice communication between the device and a monitoring center |
WO2008044927A1 (en) * | 2006-10-09 | 2008-04-17 | Tele Atlas B.V. | Method and apparatus for generating an orthorectified tile |
JP2010506291A (en) * | 2006-10-09 | 2010-02-25 | テレ アトラス ベスローテン フエンノートシャップ | Method and apparatus for generating orthorectified tiles |
US20100091017A1 (en) * | 2006-10-09 | 2010-04-15 | Marcin Michal Kmiecik | Method and apparatus for generating an orthorectified tile |
US8847982B2 (en) | 2006-10-09 | 2014-09-30 | Tomtom Global Content B.V. | Method and apparatus for generating an orthorectified tile |
WO2008082423A1 (en) * | 2007-01-05 | 2008-07-10 | Alan Shulman | Navigation and inspection system |
US8903643B2 (en) | 2007-03-13 | 2014-12-02 | Certusview Technologies, Llc | Hand-held marking apparatus with location tracking system and methods for logging geographic location of same |
US8775077B2 (en) | 2007-03-13 | 2014-07-08 | Certusview Technologies, Llc | Systems and methods for using location data to electronically display dispensing of markers by a marking system or marking tool |
US8478523B2 (en) | 2007-03-13 | 2013-07-02 | Certusview Technologies, Llc | Marking apparatus and methods for creating an electronic record of marking apparatus operations |
US8401791B2 (en) | 2007-03-13 | 2013-03-19 | Certusview Technologies, Llc | Methods for evaluating operation of marking apparatus |
US8473209B2 (en) | 2007-03-13 | 2013-06-25 | Certusview Technologies, Llc | Marking apparatus and marking methods using marking dispenser with machine-readable ID mechanism |
US8407001B2 (en) | 2007-03-13 | 2013-03-26 | Certusview Technologies, Llc | Systems and methods for using location data to electronically display dispensing of markers by a marking system or marking tool |
US9086277B2 (en) | 2007-03-13 | 2015-07-21 | Certusview Technologies, Llc | Electronically controlled marking apparatus and methods |
US20100094553A1 (en) * | 2007-03-13 | 2010-04-15 | Certusview Technologies, Llc | Systems and methods for using location data and/or time data to electronically display dispensing of markers by a marking system or marking tool |
US8700325B2 (en) | 2007-03-13 | 2014-04-15 | Certusview Technologies, Llc | Marking apparatus and methods for creating an electronic record of marking operations |
US20080231707A1 (en) * | 2007-03-19 | 2008-09-25 | Fontana Duane T | Mobile security tower |
US8386178B2 (en) | 2007-04-04 | 2013-02-26 | Certusview Technologies, Llc | Marking system and method |
US8374789B2 (en) | 2007-04-04 | 2013-02-12 | Certusview Technologies, Llc | Systems and methods for using marking information to electronically display dispensing of markers by a marking system or marking tool |
EP2142883A1 (en) * | 2007-04-22 | 2010-01-13 | Ilookabout INC. | Method of obtaining geographically related images using a vehicle |
US9726485B2 (en) | 2007-04-22 | 2017-08-08 | Ilookabout Inc. | Method of obtaining geographically related images using a vehicle |
WO2008128348A1 (en) * | 2007-04-22 | 2008-10-30 | Ilookabout Inc. | Method of obtaining geographically related images using a vehicle |
EP2142883A4 (en) * | 2007-04-22 | 2013-11-06 | Ilookabout Inc | Method of obtaining geographically related images using a vehicle |
US10139225B2 (en) | 2007-04-22 | 2018-11-27 | Ilookabout Inc. | Method of obtaining geographically related images using a vehicle |
US20100141736A1 (en) * | 2007-04-22 | 2010-06-10 | Jeffrey Hack | Method of obtaining geographically related images using a vehicle |
US9874443B2 (en) | 2007-04-22 | 2018-01-23 | Ilookabout Inc. | Method of obtaining geographically related images using a vehicle |
US8275179B2 (en) | 2007-05-01 | 2012-09-25 | 3M Cogent, Inc. | Apparatus for capturing a high quality image of a moist finger |
US20080273771A1 (en) * | 2007-05-01 | 2008-11-06 | Ming Hsieh | Apparatus for capturing a high quality image of a moist finger |
US8411916B2 (en) | 2007-06-11 | 2013-04-02 | 3M Cogent, Inc. | Bio-reader device with ticket identification |
US20080304723A1 (en) * | 2007-06-11 | 2008-12-11 | Ming Hsieh | Bio-reader device with ticket identification |
NO344948B1 (en) * | 2007-07-04 | 2020-07-27 | Saab Ab | Apparatus and method for providing a three-dimensional map representation of an area |
US20100250125A1 (en) * | 2007-07-04 | 2010-09-30 | Kristian Lundberg | Arrangement and method for providing a three dimensional map representation of an area |
US9094673B2 (en) * | 2007-07-04 | 2015-07-28 | Saab Ab | Arrangement and method for providing a three dimensional map representation of an area |
WO2009003529A1 (en) * | 2007-07-04 | 2009-01-08 | Saab Ab | Arrangement and method for providing a three dimensional map representation of an area |
US20090129632A1 (en) * | 2007-09-13 | 2009-05-21 | Guanglin Ma | Method of object detection |
US8116524B2 (en) * | 2007-09-13 | 2012-02-14 | Delphi Technologies, Inc. | Method of object detection |
NO340724B1 (en) * | 2007-12-27 | 2017-06-06 | Saab Ab | Procedure for displaying a virtual image |
US9338423B2 (en) | 2007-12-27 | 2016-05-10 | Saab Ab | Method for displaying a virtual image |
EP2076055A1 (en) * | 2007-12-27 | 2009-07-01 | Saab AB | Method for displaying a virtual image |
US20110019904A1 (en) * | 2007-12-27 | 2011-01-27 | Saab Ab | Method for displaying a virtual image |
US8416995B2 (en) | 2008-02-12 | 2013-04-09 | Certusview Technologies, Llc | Electronic manifest of underground facility locate marks |
US8232876B2 (en) | 2008-03-07 | 2012-07-31 | Securealert, Inc. | System and method for monitoring individuals using a beacon and intelligent remote tracking device |
US8237791B2 (en) | 2008-03-19 | 2012-08-07 | Microsoft Corporation | Visualizing camera feeds on a map |
US20090237510A1 (en) * | 2008-03-19 | 2009-09-24 | Microsoft Corporation | Visualizing camera feeds on a map |
US8462745B2 (en) | 2008-06-16 | 2013-06-11 | Skyhook Wireless, Inc. | Methods and systems for determining location using a cellular and WLAN positioning system by selecting the best WLAN PS solution |
US8638725B2 (en) | 2008-06-16 | 2014-01-28 | Skyhook Wireless, Inc. | Methods and systems for determining location using a cellular and WLAN positioning system by selecting the best WLAN PS solution |
US9004004B2 (en) | 2008-07-10 | 2015-04-14 | Certusview Technologies, Llc | Optical sensing methods and apparatus for detecting a color of a marking substance |
US8862423B2 (en) | 2008-09-19 | 2014-10-14 | Caterpillar Inc. | Machine sensor calibration system |
US20100076710A1 (en) * | 2008-09-19 | 2010-03-25 | Caterpillar Inc. | Machine sensor calibration system |
US8361543B2 (en) | 2008-10-02 | 2013-01-29 | Certusview Technologies, Llc | Methods and apparatus for displaying an electronic rendering of a marking operation based on an electronic record of marking information |
US8749239B2 (en) | 2008-10-02 | 2014-06-10 | Certusview Technologies, Llc | Locate apparatus having enhanced features for underground facility locate operations, and associated methods and systems |
US8467969B2 (en) | 2008-10-02 | 2013-06-18 | Certusview Technologies, Llc | Marking apparatus having operational sensors for underground facility marking operations, and associated methods and systems |
US8589201B2 (en) * | 2008-10-02 | 2013-11-19 | Certusview Technologies, Llc | Methods and apparatus for generating alerts on a locate device, based on comparing electronic locate information to facilities map information and/or other image information |
US8589202B2 (en) * | 2008-10-02 | 2013-11-19 | Certusview Technologies, Llc | Methods and apparatus for displaying and processing facilities map information and/or other image information on a marking device |
US8600526B2 (en) | 2008-10-02 | 2013-12-03 | Certusview Technologies, Llc | Marking device docking stations having mechanical docking and methods of using same |
US8612148B2 (en) | 2008-10-02 | 2013-12-17 | Certusview Technologies, Llc | Marking apparatus configured to detect out-of-tolerance conditions in connection with underground facility marking operations, and associated methods and systems |
US8577707B2 (en) * | 2008-10-02 | 2013-11-05 | Certusview Technologies, Llc | Methods and apparatus for overlaying electronic locate information on facilities map information and/or other image information displayed on a locate device |
US9177403B2 (en) | 2008-10-02 | 2015-11-03 | Certusview Technologies, Llc | Methods and apparatus for overlaying electronic marking information on facilities map information and/or other image information displayed on a marking device |
US8478524B2 (en) | 2008-10-02 | 2013-07-02 | Certusview Technologies, Llc | Methods and apparatus for dispensing marking material in connection with underground facility marking operations based on environmental information and/or operational information |
US8457893B2 (en) | 2008-10-02 | 2013-06-04 | Certusview Technologies, Llc | Methods and apparatus for generating an electronic record of a marking operation including service-related information and/or ticket information |
US20130162431A1 (en) * | 2008-10-02 | 2013-06-27 | Steven Nielsen | Methods and apparatus for generating alerts on a locate device, based on comparing electronic locate information to facilities map information and/or other image information |
US8644965B2 (en) | 2008-10-02 | 2014-02-04 | Certusview Technologies, Llc | Marking device docking stations having security features and methods of using same |
US8442766B2 (en) | 2008-10-02 | 2013-05-14 | Certusview Technologies, Llc | Marking apparatus having enhanced features for underground facility marking operations, and associated methods and systems |
US8400155B2 (en) | 2008-10-02 | 2013-03-19 | Certusview Technologies, Llc | Methods and apparatus for displaying an electronic rendering of a locate operation based on an electronic record of locate information |
US20100188215A1 (en) * | 2008-10-02 | 2010-07-29 | Certusview Technologies, Llc | Methods and apparatus for generating alerts on a marking device, based on comparing electronic marking information to facilities map information and/or other image information |
US8527308B2 (en) * | 2008-10-02 | 2013-09-03 | Certusview Technologies, Llc | Methods and apparatus for overlaying electronic locate information on facilities map information and/or other image information displayed on a locate device |
US20100085185A1 (en) * | 2008-10-02 | 2010-04-08 | Certusview Technologies, Llc | Methods and apparatus for generating electronic records of locate operations |
US9069094B2 (en) | 2008-10-02 | 2015-06-30 | Certusview Technologies, Llc | Locate transmitter configured to detect out-of-tolerance conditions in connection with underground facility locate operations, and associated methods and systems |
US20100085701A1 (en) * | 2008-10-02 | 2010-04-08 | Certusview Technologies, Llc | Marking device docking stations having security features and methods of using same |
US8731830B2 (en) | 2008-10-02 | 2014-05-20 | Certusview Technologies, Llc | Marking apparatus for receiving environmental information regarding underground facility marking operations, and associated methods and systems |
US8583264B2 (en) | 2008-10-02 | 2013-11-12 | Certusview Technologies, Llc | Marking device docking stations and methods of using same |
US8476906B2 (en) | 2008-10-02 | 2013-07-02 | Certusview Technologies, Llc | Methods and apparatus for generating electronic records of locate operations |
US8766638B2 (en) | 2008-10-02 | 2014-07-01 | Certusview Technologies, Llc | Locate apparatus with location tracking system for receiving environmental information regarding underground facility marking operations, and associated methods and systems |
US8478617B2 (en) * | 2008-10-02 | 2013-07-02 | Certusview Technologies, Llc | Methods and apparatus for generating alerts on a locate device, based on comparing electronic locate information to facilities map information and/or other image information |
US9208458B2 (en) | 2008-10-02 | 2015-12-08 | Certusview Technologies, Llc | Methods and apparatus for analyzing locate and marking operations with respect to facilities maps |
US8770140B2 (en) | 2008-10-02 | 2014-07-08 | Certusview Technologies, Llc | Marking apparatus having environmental sensors and operations sensors for underground facility marking operations, and associated methods and systems |
US20110095885A9 (en) * | 2008-10-02 | 2011-04-28 | Certusview Technologies, Llc | Methods and apparatus for generating electronic records of locate operations |
US9542863B2 (en) | 2008-10-02 | 2017-01-10 | Certusview Technologies, Llc | Methods and apparatus for generating output data streams relating to underground utility marking operations |
US9046621B2 (en) | 2008-10-02 | 2015-06-02 | Certusview Technologies, Llc | Locate apparatus configured to detect out-of-tolerance conditions in connection with underground facility locate operations, and associated methods and systems |
US20100189887A1 (en) * | 2008-10-02 | 2010-07-29 | Certusview Technologies, Llc | Marking apparatus having enhanced features for underground facility marking operations, and associated methods and systems |
US8510141B2 (en) * | 2008-10-02 | 2013-08-13 | Certusview Technologies, Llc | Methods and apparatus for generating alerts on a marking device, based on comparing electronic marking information to facilities map information and/or other image information |
US20100188216A1 (en) * | 2008-10-02 | 2010-07-29 | Certusview Technologies, Llc | Methods and apparatus for generating alerts on a locate device, based on comparing electronic locate information to facilities map information and/or other image information |
US20100253513A1 (en) * | 2008-10-02 | 2010-10-07 | Certusview Technologies, Llc | Locate transmitter having enhanced features for underground facility locate operations, and associated methods and systems |
US20100188088A1 (en) * | 2008-10-02 | 2010-07-29 | Certusview Technologies, Llc | Methods and apparatus for displaying and processing facilities map information and/or other image information on a locate device |
US20100188407A1 (en) * | 2008-10-02 | 2010-07-29 | Certusview Technologies, Llc | Methods and apparatus for displaying and processing facilities map information and/or other image information on a marking device |
US20100198663A1 (en) * | 2008-10-02 | 2010-08-05 | Certusview Technologies, Llc | Methods and apparatus for overlaying electronic marking information on facilities map information and/or other image information displayed on a marking device |
US20100189312A1 (en) * | 2008-10-02 | 2010-07-29 | Certusview Technologies, Llc | Methods and apparatus for overlaying electronic locate information on facilities map information and/or other image information displayed on a locate device |
US8478525B2 (en) | 2008-10-02 | 2013-07-02 | Certusview Technologies, Llc | Methods, apparatus, and systems for analyzing use of a marking device by a technician to perform an underground facility marking operation |
US8965700B2 (en) | 2008-10-02 | 2015-02-24 | Certusview Technologies, Llc | Methods and apparatus for generating an electronic record of environmental landmarks based on marking device actuations |
US8855917B2 (en) * | 2008-10-16 | 2014-10-07 | Csr Technology Inc. | System and method for use of a vehicle back-up camera as a dead-reckoning sensor |
US20100100321A1 (en) * | 2008-10-16 | 2010-04-22 | Michael Koenig | System and method for use of a vehicle back-up camera as a dead-reckoning sensor |
US8626571B2 (en) | 2009-02-11 | 2014-01-07 | Certusview Technologies, Llc | Management system, and associated methods and apparatus, for dispatching tickets, receiving field information, and performing a quality assessment for underground facility locate and/or marking operations |
US8731999B2 (en) | 2009-02-11 | 2014-05-20 | Certusview Technologies, Llc | Management system, and associated methods and apparatus, for providing improved visibility, quality control and audit capability for underground facility locate and/or marking operations |
US9185176B2 (en) | 2009-02-11 | 2015-11-10 | Certusview Technologies, Llc | Methods and apparatus for managing locate and/or marking operations |
US20100220173A1 (en) * | 2009-02-20 | 2010-09-02 | Google Inc. | Estimation of Panoramic Camera Orientation Relative to a Vehicle Coordinate Frame |
US8698875B2 (en) | 2009-02-20 | 2014-04-15 | Google Inc. | Estimation of panoramic camera orientation relative to a vehicle coordinate frame |
US9270891B2 (en) | 2009-02-20 | 2016-02-23 | Google Inc. | Estimation of panoramic camera orientation relative to a vehicle coordinate frame |
US20100274434A1 (en) * | 2009-04-28 | 2010-10-28 | Caterpillar Inc. | Position monitoring system for a mobile machine |
US8306726B2 (en) | 2009-04-28 | 2012-11-06 | Caterpillar Inc. | Position monitoring system for a mobile machine |
FR2947980A1 (en) * | 2009-07-10 | 2011-01-14 | Micromega | Route 's image acquisition system for realization of ultra-high definition animated sequence of e.g. virtual promenade in public place, has housing to control acquisition of images of route using photographic apparatus |
US8311765B2 (en) | 2009-08-11 | 2012-11-13 | Certusview Technologies, Llc | Locating equipment communicatively coupled to or equipped with a mobile/portable device |
US8620616B2 (en) | 2009-08-20 | 2013-12-31 | Certusview Technologies, Llc | Methods and apparatus for assessing marking operations based on acceleration information |
US8620572B2 (en) | 2009-08-20 | 2013-12-31 | Certusview Technologies, Llc | Marking device with transmitter for triangulating location during locate operations |
US9097522B2 (en) | 2009-08-20 | 2015-08-04 | Certusview Technologies, Llc | Methods and marking devices with mechanisms for indicating and/or detecting marking material color |
US9471986B2 (en) | 2009-09-14 | 2016-10-18 | Trimble Navigation Limited | Image-based georeferencing |
US20110235923A1 (en) * | 2009-09-14 | 2011-09-29 | Weisenburger Shawn D | Accurate digitization of a georeferenced image |
US20110064312A1 (en) * | 2009-09-14 | 2011-03-17 | Janky James M | Image-based georeferencing |
US9042657B2 (en) | 2009-09-14 | 2015-05-26 | Trimble Navigation Limited | Image-based georeferencing |
US8897541B2 (en) | 2009-09-14 | 2014-11-25 | Trimble Navigation Limited | Accurate digitization of a georeferenced image |
US8989502B2 (en) | 2009-09-14 | 2015-03-24 | Trimble Navigation Limited | Image-based georeferencing |
US9324003B2 (en) | 2009-09-14 | 2016-04-26 | Trimble Navigation Limited | Location of image capture device and object features in a captured image |
US8942483B2 (en) | 2009-09-14 | 2015-01-27 | Trimble Navigation Limited | Image-based georeferencing |
US8788496B2 (en) | 2009-09-30 | 2014-07-22 | Trimble Navigation Limited | Visual organization of information via associated geospatial data |
US20110087662A1 (en) * | 2009-09-30 | 2011-04-14 | Darby Jr George Derrick | Visual organization of information via associated geospatial data |
US9497581B2 (en) | 2009-12-16 | 2016-11-15 | Trimble Navigation Limited | Incident reporting |
US20110143707A1 (en) * | 2009-12-16 | 2011-06-16 | Darby Jr George Derrick | Incident reporting |
US20110153266A1 (en) * | 2009-12-23 | 2011-06-23 | Regents Of The University Of Minnesota | Augmented vehicle location system |
US9129504B2 (en) | 2010-04-07 | 2015-09-08 | Securealert, Inc. | Tracking device incorporating cuff with cut resistant materials |
US8514070B2 (en) | 2010-04-07 | 2013-08-20 | Securealert, Inc. | Tracking device incorporating enhanced security mounting strap |
US9109890B2 (en) * | 2010-05-10 | 2015-08-18 | Leica Geosystems Ag | Surveying method |
US20130050474A1 (en) * | 2010-05-10 | 2013-02-28 | Leica Geosystems Ag | Surveying method |
US9696448B2 (en) | 2010-06-15 | 2017-07-04 | SeeScan, Inc. | Ground tracking devices and methods for use with a utility locator |
US10317559B1 (en) | 2010-06-15 | 2019-06-11 | SeeScan, Inc. | Ground tracking devices and methods for use with a utility locator |
US9046413B2 (en) | 2010-08-13 | 2015-06-02 | Certusview Technologies, Llc | Methods, apparatus and systems for surface type detection in connection with locate and marking operations |
US10849089B2 (en) | 2010-08-23 | 2020-11-24 | Finetrak, Llc | Resource allocation according to geolocation of mobile communication units |
US9538493B2 (en) | 2010-08-23 | 2017-01-03 | Finetrak, Llc | Locating a mobile station and applications therefor |
US9124780B2 (en) | 2010-09-17 | 2015-09-01 | Certusview Technologies, Llc | Methods and apparatus for tracking motion and/or orientation of a marking device |
US9286810B2 (en) | 2010-09-24 | 2016-03-15 | Irobot Corporation | Systems and methods for VSLAM optimization |
US9910444B2 (en) | 2010-09-24 | 2018-03-06 | Irobot Corporation | Systems and methods for VSLAM optimization |
US9213905B2 (en) | 2010-10-25 | 2015-12-15 | Trimble Navigation Limited | Automatic obstacle location mapping |
US10115158B2 (en) | 2010-10-25 | 2018-10-30 | Trimble Inc. | Generating a crop recommendation |
US8731836B2 (en) | 2010-10-25 | 2014-05-20 | Trimble Navigation Limited | Wide-area agricultural monitoring and prediction |
US8855937B2 (en) | 2010-10-25 | 2014-10-07 | Trimble Navigation Limited | Crop characteristic estimation |
US9058633B2 (en) | 2010-10-25 | 2015-06-16 | Trimble Navigation Limited | Wide-area agricultural monitoring and prediction |
US9846848B2 (en) | 2010-10-25 | 2017-12-19 | Trimble Inc. | Exchanging water allocation credits |
US8768667B2 (en) | 2010-10-25 | 2014-07-01 | Trimble Navigation Limited | Water erosion management incorporating topography, soil type, and weather statistics |
US20120191724A1 (en) * | 2011-01-26 | 2012-07-26 | Tucek Joseph A | Storage of data objects based on a time of creation |
US8862395B2 (en) * | 2011-01-31 | 2014-10-14 | Raytheon Company | Coded marker navigation system and method |
US20120197519A1 (en) * | 2011-01-31 | 2012-08-02 | James Joseph Richardson | Coded marker navigation system and method |
EP2704855A2 (en) * | 2011-05-02 | 2014-03-12 | Certusview Technologies LLC | Marking methods, apparatus and systems including optical flow-based dead reckoning features |
EP2704855A4 (en) * | 2011-05-02 | 2014-11-19 | Certusview Technologies Llc | Marking methods, apparatus and systems including optical flow-based dead reckoning features |
US8638375B2 (en) | 2011-05-17 | 2014-01-28 | Trimble Navigation Limited | Recording data with an integrated field-portable device |
US8671741B2 (en) | 2011-06-29 | 2014-03-18 | Trimble Navigation Limited | Extendable moisture content sensing system |
US9530208B1 (en) * | 2011-08-04 | 2016-12-27 | Amazon Technologies, Inc. | Registration of low contrast images |
US9952053B2 (en) | 2011-09-30 | 2018-04-24 | Irobot Corporation | Adaptive mapping with spatial summaries of sensor data |
US10070101B2 (en) | 2011-09-30 | 2018-09-04 | The Chancellor Masters And Scholars Of The University Of Oxford | Localising transportable apparatus |
US8798840B2 (en) | 2011-09-30 | 2014-08-05 | Irobot Corporation | Adaptive mapping with spatial summaries of sensor data |
US20140249752A1 (en) * | 2011-09-30 | 2014-09-04 | The Chancellor Masters And Scholars Of The University Of Oxford | Localising a vehicle along a route |
US9464894B2 (en) * | 2011-09-30 | 2016-10-11 | Bae Systems Plc | Localising a vehicle along a route |
US9404756B2 (en) | 2011-09-30 | 2016-08-02 | Irobot Corporation | Adaptive mapping with spatial summaries of sensor data |
US9218003B2 (en) | 2011-09-30 | 2015-12-22 | Irobot Corporation | Adaptive mapping with spatial summaries of sensor data |
US10962376B2 (en) | 2011-09-30 | 2021-03-30 | Irobot Corporation | Adaptive mapping with spatial summaries of sensor data |
US9297899B2 (en) | 2011-09-30 | 2016-03-29 | The Chancellor Masters And Scholars Of The University Of Oxford | Determining extrinsic calibration parameters for a sensor |
US9841503B2 (en) | 2012-02-13 | 2017-12-12 | SeeScan, Inc. | Optical ground tracking apparatus, systems, and methods |
US9372117B2 (en) | 2012-02-13 | 2016-06-21 | SeeScan, Inc. | Optical ground tracking apparatus, systems, and methods |
US10586119B2 (en) * | 2012-09-26 | 2020-03-10 | Magna Electronics Inc. | Vehicular control system with trailering assist function |
US9558409B2 (en) * | 2012-09-26 | 2017-01-31 | Magna Electronics Inc. | Vehicle vision system with trailer angle detection |
US9802542B2 (en) | 2012-09-26 | 2017-10-31 | Magna Electronics Inc. | Trailer angle detection system calibration |
US11872939B2 (en) | 2012-09-26 | 2024-01-16 | Magna Electronics Inc. | Vehicular trailer angle detection system |
US11410431B2 (en) * | 2012-09-26 | 2022-08-09 | Magna Electronics Inc. | Vehicular control system with trailering assist function |
US20170185852A1 (en) * | 2012-09-26 | 2017-06-29 | Magna Electronics Inc. | Vehicle vision system with trailer angle detection |
US9779313B2 (en) * | 2012-09-26 | 2017-10-03 | Magna Electronics Inc. | Vehicle vision system with trailer angle detection |
US10300855B2 (en) | 2012-09-26 | 2019-05-28 | Magna Electronics Inc. | Trailer driving assist system |
US20140160276A1 (en) * | 2012-09-26 | 2014-06-12 | Magna Electronics Inc. | Vehicle vision system with trailer angle detection |
US11285875B2 (en) | 2012-09-26 | 2022-03-29 | Magna Electronics Inc. | Method for dynamically calibrating a vehicular trailer angle detection system |
US20140085472A1 (en) * | 2012-09-26 | 2014-03-27 | Magna Electronics Inc. | Trailer angle detection system |
US20190042864A1 (en) * | 2012-09-26 | 2019-02-07 | Magna Electronics Inc. | Vehicular control system with trailering assist function |
US10800332B2 (en) | 2012-09-26 | 2020-10-13 | Magna Electronics Inc. | Trailer driving assist system |
US10089541B2 (en) * | 2012-09-26 | 2018-10-02 | Magna Electronics Inc. | Vehicular control system with trailering assist function |
US9446713B2 (en) * | 2012-09-26 | 2016-09-20 | Magna Electronics Inc. | Trailer angle detection system |
US10909393B2 (en) * | 2012-09-26 | 2021-02-02 | Magna Electronics Inc. | Vehicular control system with trailering assist function |
US9020637B2 (en) | 2012-11-02 | 2015-04-28 | Irobot Corporation | Simultaneous localization and mapping for a mobile robot |
US9400501B2 (en) | 2012-11-02 | 2016-07-26 | Irobot Corporation | Simultaneous localization and mapping for a mobile robot |
EP2956800A1 (en) * | 2013-02-13 | 2015-12-23 | SeeScan, Inc. | Optical ground tracking apparatus, systems, and methods |
US9541420B2 (en) * | 2013-04-03 | 2017-01-10 | Caterpillar Inc. | System for determining error in a sensed machine position |
US20140303923A1 (en) * | 2013-04-03 | 2014-10-09 | Caterpillar Inc. | System for Determining Error in a Sensed Machine Position |
US9037396B2 (en) | 2013-05-23 | 2015-05-19 | Irobot Corporation | Simultaneous localization and mapping for a mobile robot |
US9329598B2 (en) | 2013-05-23 | 2016-05-03 | Irobot Corporation | Simultaneous localization and mapping for a mobile robot |
US9866782B2 (en) | 2013-11-22 | 2018-01-09 | At&T Intellectual Property I, L.P. | Enhanced view for connected cars |
US9403482B2 (en) | 2013-11-22 | 2016-08-02 | At&T Intellectual Property I, L.P. | Enhanced view for connected cars |
US9602835B2 (en) * | 2014-02-05 | 2017-03-21 | ReallyColor, LLC | Difference images and difference image strips |
US20150222931A1 (en) * | 2014-02-05 | 2015-08-06 | ReallyColor, LLC | Difference images and difference image strips |
FR3023910A1 (en) * | 2014-07-16 | 2016-01-22 | Cie Maritime D Expertises | IMAGE RECORDING SYSTEM FOR REAL-TIME ODOMETRY AND THE PRODUCTION OF A THREE-DIMENSIONAL MODEL |
US10686976B2 (en) | 2014-08-18 | 2020-06-16 | Trimble Inc. | System and method for modifying onboard event detection and/or image capture strategy using external source data |
US9714037B2 (en) | 2014-08-18 | 2017-07-25 | Trimble Navigation Limited | Detection of driver behaviors using in-vehicle systems and methods |
US10161746B2 (en) | 2014-08-18 | 2018-12-25 | Trimble Navigation Limited | Systems and methods for cargo management |
US10611307B2 (en) * | 2015-01-27 | 2020-04-07 | Bayerische Motoren Werke Aktiengesellschaft | Measurement of a dimension on a surface |
US20170320437A1 (en) * | 2015-01-27 | 2017-11-09 | Bayerische Motoren Werke Aktiengesellschaft | Measurement of a Dimension on a Surface |
US10204159B2 (en) | 2015-08-21 | 2019-02-12 | Trimble Navigation Limited | On-demand system and method for retrieving video from a commercial vehicle |
US11027581B2 (en) * | 2015-10-23 | 2021-06-08 | Deere & Company | System to influence the position of a vehicle |
US20170113497A1 (en) * | 2015-10-23 | 2017-04-27 | Deere & Company | System to influence the position of a vehicle |
US20170174128A1 (en) * | 2015-12-17 | 2017-06-22 | Ford Global Technologies, Llc | Centerline method for trailer hitch angle detection |
US10155478B2 (en) * | 2015-12-17 | 2018-12-18 | Ford Global Technologies, Llc | Centerline method for trailer hitch angle detection |
US10361719B2 (en) | 2016-03-02 | 2019-07-23 | Spookfish Innovations Pty Ltd. | Method of managing data captured in an aerial camera system |
WO2017183001A1 (en) * | 2016-04-22 | 2017-10-26 | Turflynx, Lda. | Automated topographic mapping system" |
US11052287B2 (en) | 2018-01-07 | 2021-07-06 | Ocula Corporation | Digital-optical object tracker |
US11185737B2 (en) | 2018-01-07 | 2021-11-30 | Ocula Corporation | Fixed-element digital-optical measuring device |
US10706603B2 (en) * | 2018-02-23 | 2020-07-07 | Korea Institute Of Geoscience And Mineral Resources | Apparatus for editing geological elements using touch-based interface |
US20190266769A1 (en) * | 2018-02-23 | 2019-08-29 | Korea Institute Of Geoscience And Mineral Resources | Apparatus for editing geological elements using touch-based interface |
WO2020076737A1 (en) * | 2018-10-07 | 2020-04-16 | Ocula Corporation | Fixed-element digital-optical measuring device |
US11096026B2 (en) | 2019-03-13 | 2021-08-17 | Here Global B.V. | Road network change detection and local propagation of detected change |
US11287267B2 (en) | 2019-03-13 | 2022-03-29 | Here Global B.V. | Maplets for maintaining and updating a self-healing high definition map |
US11402220B2 (en) | 2019-03-13 | 2022-08-02 | Here Global B.V. | Maplets for maintaining and updating a self-healing high definition map |
US11287266B2 (en) * | 2019-03-13 | 2022-03-29 | Here Global B.V. | Maplets for maintaining and updating a self-healing high definition map |
US11280622B2 (en) | 2019-03-13 | 2022-03-22 | Here Global B.V. | Maplets for maintaining and updating a self-healing high definition map |
US11255680B2 (en) | 2019-03-13 | 2022-02-22 | Here Global B.V. | Maplets for maintaining and updating a self-healing high definition map |
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